bluuebunny/crossref_metadata_2025 huggingface dataset:
PENANAMAN NILAI TOLERANSI DALAM PLURALISME BERAGAMA PADA ANAK USIA DINI DI TK NEGERI PEMBINA NANGA PINOH
Authors: Kartini Kartini , Akip Muhammad
Published: March 2024

Masyarakat Indonesia adalah masyarakat yang kaya akan keragaman suku, agama, budaya, adat istiadat, bahasa, dan latar belakang. Keragaman ini sering mengakibatkan terjadinya pergeseran dan konflik di tengah masyarakat. Kesadaran dan pengakuan akan keragaman disebut sebagai pluralisme. Pluralisme dapat menyangkut bidang kultural, politik, dan religious. Penanaman nilai-nilai pluralisme dan toleransi erat kaitannya dengan kesadaran masyarakat Indonesia yang kaya akan perbedaan suku, agama, dan budaya. Penanaman nilai-nilai toleransi dan pluralisme antar umat beragama melalui jalur pendidikan merupakan salah satu cara yang dinilai paling efektif. Pada anak usia dini potensi yang dimilikinya meliputi aspek nilai agama-moral, fisik-motorik, social-emosional, bahasa dan seni. Masa perkembangan anak usia dini harus diorientasikan kepada penanaman nilai-nilai moral-agama, kognitif, sosial-emosional, fisik-motorik, bahasa dan seni yang seimbang sebagai dasar pembentukan pribadi yang utuh. Dalam upaya menerapkan perilaku baik tersebut, diperlukan cara atau pendidikan dari para orang tua maupun guru di sekolah yang efektif. Faktor lingkungan sekolah maupun lingkungan keluarga akan sangat mempengaruhi kepribadian seorang anak. Maka penting menanamkan sikap baik dalam kehidupan kepada seorang anak sejak usia dini agar mampu tertanam dengan baik hingga mereka beranjak dewasa. Berdasarkan latar belakang masalah di atas maka dilaksanakan penelitian dengan judul “Penanaman Nilai Toleransi Dalam Pluralisme Beragama Pada Anak Usia Dini Di TK Negeri Pembina Nanga Pinoh”.Kata Kunci : Nilai Toleransi, Pluralisme, PAUD
MANFAAT BERMAIN UNTUK MENGEMBANGKAN ASPEK SOSIAL DAN EMOSI ANAK USIA DINI
Authors: Halipah Siti , Suyatmin Suyatmin
Published: March 2024

Anak usia dini adalah anak yang berusia sejak lahir sampai dengan 6 tahun. Anak usia dini memiliki beragam karakteristik salah satunya yaitu sifat egosentris. Dari sifat tersebut dapat menghambat aspek perkembangan sosial emosional. Tidak ada anak yang tidak suka untuk bermain,untuk itu dengan cara bermain anak usia dini dapat mengembangkan aspek sosial emosionalnya. Banyak sekali manfaat bermain untuk perkembangan anak usia dini salah satunya yaitu untuk mengembangkan sosial emosional anak usia dini. Manfaat bermain dalam perkembangan sosial adalah dalam bermain anak ajarkan untuk saling membantu, saling memberi, saling berbagi dan gotong royong selain untuk perkembangan sosial bermain juga bermanfaat untuk perkembangan emosi yaitu dengan bermain anak dapat menyalurkan emosinya seperti senang, sedih,marah, dan kecewa. Anak juga dilatih untuk mengendalikan dirinya dari keinginan sekaligus serana untuk relaxsasi. Dengan bermain anak juga dapat menjalin komunikasi yang baik dengan teman sebaya dan dengan lingkingan sekitar anak.
Meningkatkan Perkembangan Kognitif Anak Usia 5-6 Tahun Melalui Pemainan Tutup Botol Di PAUD Kasih Bunda Desa Engkurai
Authors: Widia Widia , Kartini Kartini , Susilawati Indria
Published: March 2024

Penelitian ini bertujuan untuk mengetahui bagaimana upaya guru dalam meningkatkan kemampuan kognitif anak di PAUD Engkurai dengan menggunakan permainan tutup botol serta mengetahui bagaimana peningkatan kemampuan kognitif anak melalui permainan tutup botol di PAUD Engkurai. Jenis penelitian yang digunakan dalam penelitian ini adalah Penelitian Tindakan Kelas (PTK) dengan proses antara lain: perencanaan (planning), tindakan (acting), observasi (observing), dan refleksi (reflecting).Berdasarkan hasil penelitian yang telah dilakukan mulai tanggal 6 hingga tanggal 10 Februari 2023 pada anak usia 5-6 tahun diperoleh hasil peningkatan kemampuan kognitif anak. Hal ini dapat dilihat pada pra tindakan anak mencapai skor yang diperoleh rata-rata 36.80 % dengan kriteria Belum Berkembang (BB).  Pada Siklus I mengalami peningkatan dengan rata-rata 51.38 % dengan kriteria Mulai Berkembang (MB). Sedangkan Peningkatan pada Siklus II mencapai nilai rata-rata 79.16 % dengan kriteria Berkembang Sangat Baik (BSB). Kata Kunci : Perkembangan Kognitif, permainan di PAUD, tutup botol
Perbandingan Kekuatan Bending dan Tarik Komposit Polimer Hybrid Diperkuat Serat Sisal dan Kenaf Karung Goni Terhadap Serat Karbon Kevlar
Authors: Taufik Hidayat Idhwar , Maha Surya Putra , Agung Raharjo Muhammad
Published: March 2024

Inovasi untuk pengganti bahan baku logam sebagai material manufaktur dan konstruksi pesawat terbang terus dikembangkan. Penggunaan material komposit dipilih sebagai pengganti bahan baku logam dikarenakan komposit memiliki sifat kuat, massa yang ringan, dan tahan terhadap korosi. Umumnya bahan penguat komposit berasal dari bahan penguat sitentis namun terdapat beberapa kekurangan seperti bahan baku terbatas, biaya produksi lebih mahal, biodegradabilitas rendah, dan bahaya bagi kesehatan. Dalam upaya mencari alternatif bahan penguat sintetis pada penelitian ini digunakan terobosan dengan pemanfaatan serat alami untuk material penguat komposit.  Jenis komposit yang digunakan yaitu komposit hybrid yaitu gabungan dari serat sisal dan serat kenaf karung goni. Metode penelitian yang digunakan adalah metode kuantitatif komparatif bersifat eksperimental yaitu mengetahui perbandingan dengan existing material reinforcement yaitu serat sintetis karbon kevlar dengan serat alam dari hasil uji bending dan uji tarik. Pembuatan komposit dilakukan dengan metode hand lay-up pada perbandingan fraksi volume serat sebesar sisal dan karung goni 20%:20% dan serat karbon kevlar 20%. Pengujian spesimen dilakukan dengan standar ASTM D790 uji bending dan ASTM D638 uji tarik. Dari perbandingan hasil uji bending dan tarik diketahui kekuatan komposit yang diperkuat dengan serat sisal dan karung goni mampu mendekati kekuatan komposit dari serat karbon kevlar dengan persentase perbandingan 38-40%.
Pembuatan Crane Electrical Untuk Praktik Piston Engine Di Politeknik Penerbangan Makassar
Authors: Anas Aswar , Finani Abraham , Djunaedi
Published: March 2024

Crane electrical adalah suatu alat yang berfungsi untuk memindahkan benda atau engine ke tempat yang diinginkan dengan menggunakan motor listrik sebagai pengangkat dan penurun engine atau benda. Alat ini memiliki desain yang mirip crane engine hidrolik yang berada di wokshop A dan telah mengalami kebocoran sehingga tidak dapat digunakan Metode Research and Development adalah pendekatan yang digunakan dalam pengembangan produk atau proses baru dengan menggabungkan proses penelitian dan pengembangan. Adapun tahapan-tahapan seperti identifikasi masalah, pengumpulan informasi, perencanaan, perancangan, pengujian, dan implementasi. Dari keseluruhan pengujian pada pembuatan crane ini dapat diambil kesimpulan bahwa alat ini dapat membantu taruna untuk memindahkan engine piston dengan mudah dan efisien pada saat pelaksanaan praktek piston engine. Crane electrical dibanding crane hidrolik dapat meningkatkan efisiensi dan produktivitas. Crane ini mampu mengangkat piston dengan cepat dan akurat, mengurangi waktu yang dibutuhkan dalam proses pemindahan piston engine serta dapat memodernisasikan alat alat yang ada di workshop a Poltekbang Makassar.
Evaluasi Safety Risk Management di Laboratorium AMTO 147D-13 Politeknik Penerbangan Makassar
Authors: Effendy Muh. Rizwan , Octavianie Adhitya , Kadir M Akbar
Published: March 2024

Sebagai Approved Maintenance Training Organization (AMTO) atau organisasi pelatihan dalam bidang perawatan pesawat udara, AMTO 147D-13 wajib membuat, melaksanakan, mengevaluasi dan menyempurnakan secara berkelanjutan Safety Management System. Namun penerapan SMS Manual AMTO 147D-13 belum diterapkan secara maksimal, masih terdapat kekurangan seperti pada risk management system. Dari hal tersebut masih terdapat risiko bahaya yang belum dievaluasi dan dilakukan tindakan pencengahan. Penelitian ini dilakukan bertujuan untuk mengevaluasi penerapan safety risk management terhadap kondisi, aktifitas praktik atau obyek yang dilakukan di laboratorium AMTO 147D-13. Penelitian ini menggunakan metode Hazard Identification and Risk Assessment & Mitigation (HIRAM). Dimulai dari memperoleh data dari observasi dan studi kepustakaan kemudian dilakukan hazard identification, risk assessment dan mitigation. Hasil penelitian ditemukan 20 bahaya pada dengan tingkat risiko tolerable pada laboratorium AMTO 147D-13 diantaranya tujuh bahaya di laboratorium aircraft hydraulic system, lima bahaya di laboratorium aircraft electrical system, lima bahaya di aircraft electronica dan tiga bahaya di laboratorium aircraft instrument. Rencana mitigasi yang disarankan untuk pengendalian risiko ini yaitu pengadaan alat penunjang fasilitas, pembuatan prosedur, dan pemeliharaan dan perawatan fasilitas. Dengan rencana mitigasi yang dibuat dapat menurunkan tingkat risiko pada kategori acceptable.
Development of an algorithm for a situational information and training model of actions of operational and management personnel in the event of failures of arrow and signal controls
Authors: Parshin P. K. , Sergeeva T. G.
Published: March 2024

The created situational information and training model will enable operational and management personnel to reduce to a minimum the time spent searching for the desired route and preparing it, reduce or eliminate train delays at input signals, and increase the safety of train traﬃc.

The purpose of the study is to develop an algorithm of measures that will allow us to develop speciﬁc practical solutions to improve the technology of operation of railway stations in the event of failure of existing railway automation and telemechanics systems.

The use of the situational information and training model ‟Managing route switches” together with the developed ‟Route Tables”, adapted for various extracurricular railway stations, will help eliminate mistakes by station attendants when preparing routes and reduce time spent on these operations.

The need to improve the technology of operation of railway stations is indicated by creating a universal software package that allows training of operational and management personnel at stations, supervising the station duty oﬃcer in preparing routes in the event of failure of existing railway automation and telemechanics systems.

Practical signiﬁcance — reduction of defects in work in conditions of faulty operation of signaling, centralization and blocking devices, increasing the safety of train traﬃc.
Original article Formalization of the task of developing wartime curricula and programs
Authors: Golenishchev E. P. , Klimenko I. V.
Published: March 2024

Managing higher education involves solving a number of problems that are diﬃcult to formalize. Such tasks include ensuring consistency of the logical-time sequence of training in real conditions of continuous improvement of documents regulating the educational process (federal state educational standards, professional standards, approximate basic educational programs, curricula, basic professional educational programs, work programs of disciplines, indicators of achievement of competencies and so on.).

Increasing the eﬃciency of higher education management is associated with the introduction of specialized information systems into the educational process of a university, designed to automate basic processes and tasks.

The range of tasks solved by the higher education management system is also inﬂuenced by the actual sociopolitical situation. In modern conditions, it seems relevant to resolve the issue of developing curricula for shortened training or wartime plans in certain areas of professional activity.

Works have been published in which formalized methods have been developed to ensure consistency of the logical-time sequence of learning in the higher education system. These methods create favorable preconditions for their further improvement and application in solving related problems.

The applicability of graph theory methods for a formalized solution to the problem of developing wartime curricula and programs is shown.
Experience in conducting practical training at the employer’s organization
Authors: Kurtushan A. I. , Nekrasov A. A.
Published: March 2024

The emergence of the Russian economy to new frontiers opens up opportunities for quality education, employment and professional growth for mid-level specialists. The general focus of training is professional; the process is built on the principles of advanced education, deﬁning as the main result the achievement of social and professional competence of the graduate, adequate to the requirements of society and the economy.

The modern system of secondary vocational education must meet the requirements of practice-orientedness, take into account the requirements of employers, it is necessary to develop the knowledge, skills and practical skills of a competitive specialist. Competitiveness can only be increased by improving the quality of education. The problem of high-quality training of specialists is due to the insuﬃcient eﬀectiveness of interaction between educational organizations and employers.

In the context of the implementation of the competency-based approach, the quality of vocational education is determined by the ability of a young specialist to easily adapt to market conditions for the development of the regional economy, to identify connections between knowledge and real situations; apply acquired knowledge to adequately solve professional problems, as well as mastery of professional competencies and elements of labor functions.

The need is being updated and the possibility of implementing elements of dual training within the educational process of the branch of the Siberian University of Transport in Novoaltaysk is being considered. The experience of conducting practical training at the employer’s organization is summarized.
Determination of demand for freight rail transportation. The relationship between the quality of transport services and demand
Authors: Chesnov A. N. , Smirnov A. E. , Egorova N. Yu.
Published: March 2024

In the modern world, rail transport plays a huge role in ensuring the economic and social stability of the state. Due to its reliability, accessibility and safety, rail transport is able to meet the needs of a wide variety of population groups and sectors of the economy. One of the important aspects of the functioning of railway transport is its ability to provide eﬃcient and high-quality cargo transportation services.

In this regard, the purpose of this study is to identify the relationship between the demand for freight transportation and the level of service in the context of railway infrastructure. We rely on the non-price elasticity method to determine more precisely how changes in the quality of service can the demand for freight rail transportation.

To achieve this goal, a number of tasks have been analyzed, such as analyzing the current state of railway transport, studying the possibilities of its growth and development, determining the current needs of the market and assessing the compliance of the services provided with these needs. In addition, the system of forecasting the demand for rail freight, based on the analysis of ﬁnancial, economic and quantitative indicators, is considered. The ﬁrst determine the capital costs of upgrading the current state of the infrastructure, focused on the repair and renewal of ﬁxed assets. The latter determine the volume values of the cargo turnover and the average weight of the train. It is also necessary to develop a step-by-step methodology for determining the coeﬃcient of non-price elasticity, to illustrate the dependence of demand for transportation on the level of quality of transport services.

All this made it possible to determine how eﬀective and expedient the existing cargo transportation service system is.

The choice of this topic is due to the increasing need to increase the stability and reliability of railway transport, increase its accessibility and safety, as well as improve the quality of services provided. Thus, the identiﬁcation of the relationship between the demand for rail freight and their quality based on the methodology of non-price elasticity contributes to the optimization of railway transport, improving its competitiveness, and stimulates the economic growth of the country.
PRABHAKAR AND HILFER-PRABHAKAR FRACTIONAL DERIVATIVES IN THE SETTING OF Ψ-FRACTIONAL CALCULUS AND ITS APPLICATIONS
Authors:   Department of mathematics, Dr. Babasaheb Ambedkar Marathwada University, India, MAGAR SACHIN K. , DOLE PRAVINKUMAR V. ,   Department of mathematics, Dr. Babasaheb Ambedkar Marathwada University, India, GHADLE KIRTIWANT P. ,   Department of mathematics, Dr. Babasaheb Ambedkar Marathwada University, India
Published: March 2024

The aim of this paper is to study to fractional calculus for class of Ψ function. The present study is designed to study generalized fractional derivatives and find their generalized transforms called Ψ-Laplace transform and Ψ-Sumudu transform. Moreover, find the analytical solutions of some applications in physics the form of generalized fractional derivatives by transform technique
Local K-Convoluted C-groups and Abstract Cauchy Problem
Authors:   Department of Mathematics, Fu Jen Catholic University, Taiwan, KUO CHUNG-CHENG
Published: March 2024

We ﬁrst present a new form of a local K-convoluted C-group on a Banach space X, and then deduce some basic properties of a nondegenerate local K-convoluted C-group on X and some generation theorems of local K-convoluted C-groups, which can be applied to obtain some equivalence relations between the generation of a nondegenerate local K-convoluted C-group on X with subgenerator A and the unique existence of solutions of the abstract Cauchy problem ACP(A,f,x).
Lipschitz Stability for Impulsive Riemann–Liouville Fractional Differential Equations
Authors: BOHNER MARTIN , HRISTOVA SNEZHANA ,   Faculty of Mathematics and Informatics, University of Plovdiv “Paisii Hilendarski”, Bulgaria
Published: March 2024

Initial and impulsive conditions for initial value problems of systems of nonlinear impulsive Riemann–Liouville fractional diﬀerential equations are introduced. The case when the lower limit of the fractional derivative is changed at each time point of the impulses is studied. In the case studied, the solution has a singularity at the initial time and at any point of the impulses. This leads to the need to appropriately generalize the classical concept of Lipschitz stability. Two derivative types of Lyapunov functions are utilized in order to deduce suﬃcient conditions for the new stability concept. Three examples are provided for illustration purpose of the theoretical results.
Existence Result for Fractional Differential Equation on Unbounded Domain
Authors:   Department of Mathematics, Sidi Bel Abbès University, Algeria, BEDDANI MOUSTAFA , HEDIA BENAOUDA ,   Laboratory of Mathematics, University of Tiaret, Algeria
Published: March 2024

In this article, we establish certain suﬃcient conditions to show the existence of solutions of boundary value problem for fractional diﬀerential equations on the half-line in a Fréchet space. The main result is based on Tykhonoﬀ ﬁxed point theorem combining with a suitable measure of non-compactness. An example is given to illustrate our approach.
O „MATERIJALISTIČKIM“ ASPEKTIMA PATRISTIČKE KOSMOLOGIJE
Authors:   University of Belgrade, Faculty of Orthodox Theology, Milićević Vukašin D.
Published: March 2024

From its inception, Christian theology interacted with and was strongly influenced by Greek philosophy. The decisive role of the platonic tradition in this sense can hardly be dis- puted. Nevertheless, I find that there still is a need and room to consider the depth and char- acter of the influences of other Hellenic schools of thought, especially considering the meta- morphoses that these influences went through by way of their interaction with biblical and platonic ideas within the framework of patristics itself.In this paper, based on a brief analysis of the relevant texts, I want to emphasize the importance that the cosmological doctrines of stoicism had for the attempts to explain, in a philosophically consequent manner, the Chris- tian doctrine on creation in the early patristics. The example of Gregory of Nyssa, the most intriguing representative of the epoch when it comes to the understanding of creation and a very speculative thinker in general, is indicative because it shows in what sense the generally accepted views on the philosophical paradigm of patristics might be corrected.
TELO I EGZISTENCIJA U SVETLU FENOMENOLOGIJE PERCEPCIJE M. MERLO-PONTIJA
Authors:   University of Kragujevac, Faculty of Education, Užice, Erić Milomir D.
Published: March 2024

In this paper, the author analyses the phenomenological descriptions of the body and existence which Merleau-Ponty expounds in his Phenomenology of Perception. The initial philosophical assumption for these descriptions is Merleau-Ponty’s stance on the essential difference between the phenomenological and the scientific approach to the human body as well as man’s attitude towards the world in which he is living. Arising from this distinction is a different way of man’s self-realization and self-understanding, that is, his existence, which is the focal point of the final part of this paper.
The Impact of Academic Procartination on The Learning Achievement of Grade 11 Students at SMA X Bogor
Authors: Fiddiana Nadzifah , Aulia Intan , Syahrina Durra
Published: March 2024

Procartination is behavior negative that is do procrastination in finish task academic so that influence results performance Study less students maximum. Research purposes This For describe about impact procartination academic student 11th grade at SMA X Bogor. Research methods use qualitative approach with method analysis descriptive with in-depth interview technique and non-participant observation. Research result found that procartination academic impact on low learning performance.
Pengaruh Environmental, Social, dan Governance terhadap Profitabilitas pada Perusahaan terdaftar di BEI 2021
Authors: Gharchia Shalsa Ellya De , Mindosa Bonnie
Published: March 2024

The Sustainable Development Goals (SDGs) are a global action plan approved by world leaders, including Indonesia. In an effort to support the implementation of Environmental, Social, and Governance (ESG) practices, particularly in Indonesia, the Indonesia Stock Exchange has launched a new index called IDX ESG Leaders. This index comprises 30 companies that have good ESG assessments and standards. However, despite being intended as a guide for investors, the index has not shown satisfactory performance. Based on this phenomenon, the author decided to choose the topic of the impact of ESG performance on the financial performance of companies listed on the Indonesia Stock Exchange in 2021. The underlying theories for this research include agency theory, legitimacy theory, and stakeholder theory. The concepts used include profitability, measured using return on assets as a proxy for financial performance, and ESG performance measured through Refinitive ESG Score. The research objects include all companies listed on the Indonesia Stock Exchange in 2021. Sampling was done using non-probability sampling techniques and purposive sampling methods. The analysis method used includes descriptive analysis, classical assumption tests, determination coefficients, F-tests, and t-tests for multiple linear regression analysis with the assistance of SPSS 25. Based on the t-test results, it was found that environmental performance has a positive and significant impact on profitability, while social and governance performance does not have a significant influence on profitability. The results of this research are expected to encourage companies in Indonesia to pay attention to and implement the values found in ESG.
A Retrospective Review of Secondary Hemophagocytic Lymphohistiocytosis (HLH) and Dengue-associated HLH from a Teaching Hospital in Singapore.
Authors: Tso Allison C. Y. , Acharyya Sanchalika , Fong Sing Zern , Lee Lian K. , Sreekanth Sampath V. , Fan Bingwen E. , Chan Seok W. S. , Ong Kiat H.
Published: March 2024

Real-world data on the outcome of Asian patients with secondary hemophagocytic lymphohistiocytosis (HLH), especially on dengue-associated HLH, are limited to small case series. This is a retrospective records review of adult patients with secondary HLH between 2015 and 2020. Thirty-two adult patients were followed up for a median of 6.6 months (range 0.1 – 75 months). 15 had underlying lymphomas, and 12 had viral infections. Hemophagocytosis was seen in 28 of 29 patients with a bone marrow biopsy. 100% and 76.5% of patients with and without an underlying malignancy required HLH-directed therapy and blood product transfusion. 12 of 15 patients with lymphomas were treated with additional chemotherapy. Patients with malignancy-associated HLH had poorer survival than non-malignancy-associated HLH (median overall survival (OS) 1.5 months versus not reached, p-value 0.003). The 1-year survival rates of patients with malignancy-associated HLH, HLH with unknown etiologies, and infection-associated HLH were 0.133 (95% CI: 0.036 – 0.484), 0.400 (95% CI: 0.137 – 1.000) and 0.833 (95% CI: 0.647 – 1.000), respectively. Malignancy significantly increased the risk of death compared to infection-associated HLH (HR 9.37, p-value 0.003). Eight patients were diagnosed with dengue-associated HLH with a median HSCORE of 240 (98-99% probability of HLH). Their mean ferritin was 34,740 ng/mL. Three patients required blood product transfusion, 5 required corticosteroids and/or etoposide, with a median duration of treatment of 31 days. Their overall survival rate was 87.5%. Our study highlights the stark contrast in the survival of secondary HLH patients with and without an underlying malignancy. We also present one of the world’s most extensive case series of dengue-associated HLH.
Analisis Rantai Pasok Toko Ban dengan Penerapan SCOR dan AHP
Authors: Prayitno An-Nisa Firardiansyah , Lasena Azhar Eka Putra , Fernandez Sandhy
Published: March 2024

The research carried out aims to describe the supply chain of XYZ Tire Shop using the SCOR (Supply Chain Operations Reference) and AHP (Analytical Hierarchy Process) methods. The SCOR method is used to understand and identify important elements in the supply chain, including suppliers, production, distribution and customers. Furthermore, the AHP method is used to evaluate and prioritize relevant criteria in decision making, such as supplier selection, risk management, and distribution improvement. By integrating SCOR and AHP, XYZ Tire Shop can improve their operational efficiency and supply chain performance. This analysis provides valuable insight into optimizing coordination with suppliers, inventory management, and investments in distribution improvements. The results of this research provide practical guidance for XYZ Tire Shop in improving the best decision making in managing their supply chain. And it can be concluded that the best tire recommendation for procurement of goods is Bristone 205/65 R16 Ecopia.
Implementasi AES ECB dan Hashing MD5/SHA-256 Pada Aplikasi Penyuratan Android
Authors: Febriyadi Fajar , Kurnia Fitra , Harahap Nazruddin Safaat , Yanto Febi , Pizaini Pizaini
Published: March 2024

The Riau Ministry of Religion Regional Office is still archiving assignment letters and official travel letters manually. The staff who take care of the correspondence section, namely personnel and legal unit staff, do not have an application that facilitates the activities of assignment letters and official travel letters to simplify filing and data containing certain information contained in letters which include assignment letters and official travel letters. Security is important because it relates to data. Therefore, a correspondence application was created to support the correspondence activities of the Riau Ministry of Religion Regional Office and make it easier for staff in the Civil Service and Legal unit to properly manage assignment letters and official travel letters as well as control books. Android application development uses the waterfall method and the ECB (Electronic Code Book) mode AES algorithm and MD5/SHA-256 hashing for security. By building this application, it will be easier for leaders and employees to exchange letters and confidential information, guaranteed security and the application built can be used by users easily. The results of the Black Box testing carried out on the application produced the expected output and the UAT test obtained a score of 89%. Application testing on sentences, Jpg, Png and PDF files has a fairly high level of security using statistical analysis methods, namely bit frequency testing, autocorrelation, 0/1 bit distribution, entropy.
Implementasi Alat Pemantau Debit dan Ketinggian Air Sungai Berbasis Internet of Things Untuk Penanggulangan Banjir
Authors: Rohmat Cep Lukman , Nurdiawan Odi , Ali Irfan , Rinaldi Dikananda Arif , Hafizha Luthfi Athhar , Rohayati Eti
Published: March 2024

The increasing frequency and intensity of floods in Cirebon City demands innovative solutions to reduce the impact of damage and risks to society and infrastructure. requires the latest approaches to risk management and prevention. This research focuses on the implementation of an Internet of Things (IoT)-based river discharge and water level monitoring tool designed to improve flood detection and prevention capabilities in Cirebon City. The main problems faced include accurate measurements, real-time monitoring, and rapid response to river water fluctuations. By combining the latest sensors and IoT technology, this tool is able to provide accurate data about water discharge and river levels continuously. The first stage in developing the Internet of Things (IoT) is identification and study of flooding problems in Cirebon City and analysis of the need for a monitoring system for flood prevention. Second, design a monitoring tool concept that meets the needs and specifications and determine the type of sensors, hardware and IoT technology that will be used. Third, choose a sensor to measure river discharge and water level. Fourth, build a monitoring tool prototype based on conceptual design. Fifth, Testing and Validation. The results of this research are based on river tests in the city of Cirebon, there are 4 rivers that frequently flood and the results of the test are that the Kalijaga River has a height of 20cm in the Safe level category, the Kedung Pane River has a height of 15cm in the Safe Level Category, the Kesunean River has a height of 10cm in the Safe Level Category and the Sukalila River has a height of 17cm in the Safe level category this is influenced by dry weather. Then the data collected from monitoring tools can be used to analyze flood patterns, trigger factors and impacts. Then, from this data, a flood classification analysis can be carried out based on the level of river water discharge, so that it can be classified as light, medium or heavy floods based on the amount of water flowing.
The Implementation of MOORA method in the Selection of Direct Cash Aid Recipients
Authors: Handayani Tri Pratiwi , Ibrahim Irawan , Gani Hilmansyah , Adam Moh. Nasrul Arief Setiawan , Abas Mohamad Ilyas
Published: March 2024

This research aims to implement the Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) algorithm as a Decision Support System for selecting recipients of Direct Cash Assistance in Cempaka Putih village, Gorontalo. With a dataset of 112 prospectus recipients, the study focuses on developing an efficient approach to assist the village head in the beneficiary selection process. By combining multi-objective optimization and ratio analysis, the MOORA algorithm objectively evaluates and ranks recipients based on eligibility and suitability. The findings demonstrate the effectiveness of MOORA in streamlining the selection process, ensuring transparency and optimizing resource allocation for those most in need. This research contributes to decision support systems by showcasing the practical application of MOORA, enhancing assistance distribution, and improving community welfare. The results show that Alternative A1 receives the highest ranking, which is 1, with a Yi value of 1.32. Therefore, Alternative A1 is recommended as the best candidate to receive direct cash assistance in the Cempaka Putih village. The method has the capability to rank the top 12 suitable candidates who are eligible to obtain direct cash aid. However, there are instances where certain Yi values match, resulting in the same ranking for those alternatives. This similarity necessitates further observation and analysis.
Penerapan Metode Support Vector Machine (SVM) Dalam Klasifikasi Produktivitas Padi
Authors: Tohari Hamim , Harini Sri , Yaqin Muhammad Ainul , Santoso Irwan Budi , Crysdian Cahyo
Published: March 2024

Indonesia is one of the largest rice producing countries in the world. Almost 95% of the Indonesian population consumes rice as a mandatory staple food, so that every year the demand for rice increases along with the increase in population. East Java is known as the largest rice producing province in Indonesia. To optimize rice production, Central Java province can group rice producing cities or districts. This aims to see and find out cities or districts that have the potential to produce rice as well as find out areas that have less than optimal rice production. To see whether the need for rice in East Java province is met, it is necessary to predict rice productivity in the East Java region so that it can be used as a basis for efforts to increase rice yields for the next period. In this research, the Support Vector Machine (SVM) method was used to classify data for predicting crop yields in East Java province. The advantage of the SVM algorithm is that it can be used for classification and regression problems with linear kernels or non-linear kernels. The data used is agricultural statistical data obtained from the website jatim.bps.go.id. The data is then analyzed using a data mining process. The results of this research are in the form of a prediction pattern with a decision tree which can be used as a basis for predictions in estimating harvest results in the next period. From dividing 80% training data and 20% testing data, results were obtained with 80% accuracy when predicting category '0' (not on target), and 100% accuracy when predicting category '1' (on target). And overall, the classification model has an accuracy of 88%. The contribution to be achieved in this research is to provide ideas for data processing in the agricultural sector.
Pengenalan Bangunan Bersejarah Pura dengan Menggunakan Local Binary Pattern dan Support Vector Machine
Authors: Jochsen Erico , Angeline Dameethia , Herwindiati Dyah Erny , Hendryli Janson
Published: March 2024

One area that has a rich cultural heritage is Bali. Bali is very well known as a very beautiful place and is often visited by tourists in Indonesia and outside Indonesia. Temple buildings in Bali have unique characteristics that reflect the richness of Indonesian culture. So many tourists are interested in vacationing there. However, due to the uniqueness of each temple building there, there is a lack of knowledge about the buildings being seen, so the main aim of this design is to develop a system for recognizing historical temple buildings in Indonesia through building images. More broadly, this design contribution can be applied in the development of similar systems for other historical regions in Indonesia, enriching efforts to preserve and promote cultural heritage nationally. Thus, this design not only paves the way for innovation in the field of image recognition, but also has a positive impact in preserving valuable cultural property. The method used for recognition is Local Binary Pattern as texture feature extraction from temple building images, while Support Vector Machine with a polynomial kernel is used to recognize temple buildings. It is hoped that the combination of these two methods can provide good results in recognizing temple buildings with the correct classification level. The accuracy of this design model using 90 percent training data and 10 percent test data was 45.93 percent, while when using 80 percent training data and 20 percent test data, the accuracy dropped slightly to 43.96 percent. When using 90 percent training data, the recognition of historical buildings produces a precision of 59 percent, a recall value of 71 percent, and an f1-score of 57 percent. On the other hand, with 80 percent training data, the recognition of historical buildings produces 62 percent precision, 72 percent recall value, and 57 percent f1-score.
Analisis Sentimen Aplikasi Primaku Menggunakan Algoritma Random Forest dan SMOTE untuk Mengatasi Ketidakseimbangan Data
Authors: Aryanti Riska , Misriati Titik , Sagiyanto Asriyani
Published: March 2024

The Primaku application is an application that can be used as a tool to monitor the growth of children under five, this application can be used to collect data on the growth of children under five, apart from that this application can also provide clear information and visualization about the growth of children under five, including nutritional status and growth development In accordance with the standards that have been set, the Primaku application can help parents or health workers in routinely monitoring the growth of children under five and early detecting the potential risk of stunting. Stunting is a growth disorder that occurs in children under five due to malnutrition which is characterized by the child's height. which is shorter than the age standard. Stunting can have a long-term impact on a child's quality of life, such as disrupting physical, cognitive and social development, as well as increasing the risk of chronic disease in adulthood. The primaku application has been widely used, more than 500,000 users have downloaded this application and 44,700 reviews have been given by users to this application, however, reading all the reviews may take time, but if there are few reviews read, then the review results will be biased. Therefore, sentiment analysis aims to overcome this problem by automatically grouping user reviews into positive and negative reviews. Therefore, research on toddler growth detection to determine the public's response to the Primaku application can be of great benefit in efforts to prevent stunting in children under five in Indonesia. In this research, the random forest algorithm with the SMOTE technique was used to carry out sentiment analysis of Primaku application reviews. The random forest algorithm is a machine learning algorithm based on decision trees. The SMOTE technique is used to overcome data imbalance problems and is able to reduce overfitting while increasing the performance of the Random Forest algorithm. The data used in this research is Primaku application review data obtained from scrapping results from the Google Play Store. This data contains comments from application users, namely positive and negative. The results of this sentiment analysis show a deep understanding of user perceptions of the Primaku application. This sentiment analysis can be a basis for further improvement and development of the Primaku application, with a focus on aspects that influence user satisfaction and the research results show that the random forest algorithm with the SMOTE technique can produce quite good accuracy in sentiment analysis of the Primaku application. obtained in this study was 88%.
Prediksi Jumlah Perceraian Menggunakan Metode Support Vector Regression (SVR)
Authors: Indra Septiawati Eka Suryani , Budianita Elvia , Insani Fitri , Oktavia Lola
Published: March 2024

The increasing number of divorces poses an increasingly significant social challenge in Indonesia, including in the city of Pekanbaru. The impact of these divorces on the adolescent population can have negative effects on their emotional and psychological well-being, as well as their ability to interact socially and engage in the learning process. This study utilizes monthly divorce data from 2015 to April 2023 to conduct time series analysis and applies the Support Vector Regression (SVR) method to predict the number of divorces in the city of Pekanbaru. Three types of SVR kernels, namely linear, polynomial, and radial basis function (RBF), are evaluated and compared to find the kernel with the best Mean Squared Error (MSE) results. Through grid search analysis, optimal parameter values for each kernel are determined. The test results indicate that the SVR model with a polynomial kernel provides more accurate predictions with an MSE of 0.010228, compared to the linear kernel (MSE = 0.012767) and the RBF kernel (MSE = 0.010812).
Perbandingan Algoritma Klasifikasi Data Mining Pada Prediksi Penyakit Diabetes
Authors: Wijaya Yunan Fauzi , Triayudi Agung
Published: March 2024

Diabetes is a chronic disease that attacks humans. One of the causes of diabetes in humans is that sugar intake is too high which the body cannot balance due to absorption or activities carried out. Diabetes is often considered a common disease among people, but the impacts caused by this disease are very detrimental to humans. Based on this, it is necessary for everyone to know whether they suffer from diabetes or not. Therefore, this problem must be resolved appropriately, where it is necessary to predict whether someone will have diabetes or not. The prediction process is carried out to determine whether someone has diabetes or not by knowing the patterns or possible symptoms that cause someone to suffer from diabetes. In this research, the pattern formation process is based on data stored in the past collected in a dataset. A dataset is a collection of past data that occurred in fact and was then collected over a certain period of time on a large scale. Data mining is a method used to process data based on collections of past data, whether in datasets or others. In data mining, the data processing process is carried out using various techniques, one of which is the solution technique in data mining is classification. In this research, the Naïve Bayes algorithm, the K-Nearest Neighbor (K-NN) algorithm and the C4.5 algorithm will be used. In the data mining classification process, there are 3 (three) algorithms used, namely Naïve Bayes, K-Nearest Neighbor and C4.5. From the results of the tests that have been carried out, the accuracy performance results for the Naïve Bayes algorithm are 75%, accuracy for the K-Nearest Neighbor algorithm by 80.60% and the C4.5 algorithm by 91.80%. In this case, it indicates that the C4.5 algorithm has better performance compared to other algorithms. Therefore, the pattern results produced by the C4.5 algorithm are used to make predictions about diabetes.
Penerapan Data Mining Pada Prediksi Harga Emas dengan Menggunakan Algoritma Regresi Linear Berganda dan ARIMA
Authors: Wijaya Yunan Fauzi , Triayudi Agung
Published: March 2024

The development of life has developed very rapidly at this time, one thing that has quite an important influence is the business processes carried out. Investment is a business that is carried out by all levels and also members of society easily and flexibly. Currently, the investment that is very popular with the public is gold. Gold itself is one of the most sought after precious metals at the moment, apart from being used to beautify oneself, gold can also be used as an investment asset. Based on several factors above, many people invest in gold. Investments made in Gold are not investments that have a short period of time but investments that are made over a fairly long period of time. Investing in Gold is done by buying Gold at a cheap price at the moment and then selling it again when the Gold price has risen. However, in the process that occurs, problems often occur, where the problems that occur are related to the price of gold. Where this problem can be solved by making a prediction. Data mining is used in predictions because the prediction process is carried out using data mining based on data processing. Data mining itself is a technique that is widely used today to assist in the problem solving process. In this research, the solution process was carried out using the Multiple Linear Regression algorithm and also ARIMA. In this research, the research process will be carried out by comparing the Multiple Linear Regression algorithm. Comparison of algorithms aims to obtain the most optimal results from implementing the algorithm. In solving using the Multiple Linear Regression algorithm and ARIMA, these two algorithms can help solve prediction problems by producing optimal results. From the process carried out, the Multiple Linear Regression algorithm has an RMSE value of 4902782.346, while the ARIMA algorithm gets a value of 5876287.332. This indicates that the results of the Multiple Linear Regression algorithm are better than the ARIMA algorithm.
Analisa Perbandingan Metode Teorema Bayes Dan Case Based Reasoning Diagnosa Penyakit Pada Tanaman Tomat
Authors: Iskandar Agus , Rakasiwi Galih
Published: March 2024

Diseases in tomato plants have a significant impact on the agriculture industry as they can reduce crop yields and tomato quality. Therefore, this research aims to compare the Bayesian Theorem and Case-Based Reasoning (CBR) methods in diagnosing tomato plant diseases. The Bayesian Theorem is a statistical approach based on probability, while CBR uses knowledge from previous cases. This study includes an analysis of the performance of both methods in terms of diagnostic accuracy, result delivery speed, and resource efficiency. The research results have the potential to assist farmers and agricultural experts in choosing the most suitable method for diagnosing tomato plant diseases. Furthermore, the implementation of expert systems in agriculture can have a positive impact on tomato cultivation productivity and sustainability. This research aims to provide practical guidance for stakeholders in the agricultural field and contribute to sustainable agriculture improvement, with a specific focus on disease identification and management in tomato plants. The percentage values of the application of the Bayesian Theorem and Case-Based Reasoning methods show that Case-Based Reasoning has a lower success rate in diagnosing Fusarium Wilt and Bacterial Wilt compared to the Bayesian Theorem. However, Case-Based Reasoning excels in diagnosing Tomato Yellow Leaf Curl Virus (TYLCV), achieving a success rate of 100%, while the Bayesian Theorem reaches 63%.
Perbandingan Penggunaan Certainty Factor dan Pendekatan Dempster-Shafer dalam Sistem Expert untuk Mendiagnosis Kasus Cacar
Authors: Mustaqim M. , Iskandar Agus
Published: March 2024

Varicella, another name for smallpox, is a viral infection that primarily affects children and can cause an itchy rash on the skin and fever. Smallpox should be diagnosed as soon as possible to stop the spread of the disease and provide appropriate treatment. The aim of this study was to compare the Dempster-Shafer and Certainty Factor (CF) approaches for diagnosing smallpox. The main aim of this study was to evaluate the effectiveness of both methods in detecting smallpox and to determine which is more accurate and reliable in the diagnosis process. The CF method is an approach in artificial intelligence that uses confidence factor values to describe an expert's level of confidence in an event or statement. Meanwhile, Dempster Shafer is a combined theory that can overcome uncertainty in decision making by modeling the level of confidence in various aspects. This research will outline the basic concepts of the Certainty Factor method and Dempster-Shafer Theory, as well as analyze their application when making a diagnosis of smallpox. The level of precision, dependability, and effectiveness of each technique will be compared. It is hoped that health professionals can improve smallpox diagnosis and make better clinical judgments with the help of the results of this study. The results of this research will help medical personnel and health practitioners make better decisions in diagnosing smallpox. Apart from that, this research can also help reduce diagnostic errors and speed up the treatment process. The calculation results from this research show that for Shingles, the Dempster Shafer approach produces a success rate of 86%, while the Certainty Factor method offers a success rate of 99%.