bluuebunny/crossref_metadata_2025 huggingface dataset:
Political Ecology of Land Function Change to Shallot Agricultural Land in Enrekang Regency
Authors: Putra N Ichwnuttaqwa Dwi , Muhiddin Amir
Published: January 2024

This article aims to determine the political ecology of land conversion into shallot farming land in Enrekang Regency with reference to political ecology indicators by Bryant and Bailey, namely: risks and benefits of actors (explaining the follow-up and benefits of the political ecology of land use change that occurs), impacts that arise (analysing the impacts that are caused), and relations between actors (analysing the relationship between each interest of the actors involved). This type of research uses a qualitative method that aims to provide a descriptive description of the political ecology of land conversion into shallot farming land in Enrekang Regency. Data sources consist of primary data obtained through interviews and secondary data taken from official documents, notes, reports, and archives that can be supported by the integrity of the primary data. The results of the study show that there are interests of the actors so that land conversion can occur; the impact arising from the expansion of shallot fields results in floods and landslides; and relations between expansion actors occur because there are no regulations or local rules that limit the conversion of land to land agriculture in Enrekang District.
The Resilient Strategy of the General Election Commission to Boost Voter Participation Amidst the COVID-19 Pandemic in Makassar City
Authors: Hastuti Hs Sri Widya , Rahim Samsir , Taufik Ahmad
Published: January 2024

The objective of the study is to ascertain the strategy employed by the General Election Commission to enhance voter participation in light of the Covid-19 pandemic. The study included a total of 8 informants. This study employs a qualitative research methodology. The research is based on Soerjono Soekanto's theory, which incorporates Normative Strategic, Ideal Strategy, and Factual Strategic. The research findings indicate the presence of a normative strategy, specifically demonstrating the diligent efforts of the KPU to establish norms among the residents of Makassar City in order to facilitate the peaceful conduct of elections. (b) The optimal approach demonstrates the effective execution of the KPU's responsibilities towards the community, enabling the community to express their desires through general elections by exercising their right to vote. The factual approach demonstrates the KPU's ongoing efforts to engage in outreach activities at both the sub-district and sub-district levels, as well as through the media. As election organisers, it is imperative that we enhance our pool of skilled personnel in order to cultivate proficient organisers, boost voter engagement, and improve the overall quality of our operations.
Political Participation of Fishermen Community Voters Amidst COVID-19 in the Local Election
Authors: Risman Risman , Muhiddin Amir , Hartaman Nursaleh
Published: January 2024

This study examines fisherman community voters' political engagement in Covid 19 in the 2020 Regional Head Election in Tritiro Village, Bontotiro District, Bulukumba Regency. This qualitative research method analyses primary and secondary data using interview, observation, and documentation. According to the study, (1) Active Participation: The fishing community participates in the post-conflict local election by campaigning for certain candidates openly, placing banners for candidate pairs, socialising the programme for the next 5 years if mandated by the community, and most of the fishing communities choose one Paslon because of the 4 existing candidates, one may change and (2) Passive Participation: the fishing community participates passively because the problem occurs almost every general election and events have not been adequately analysed for the next participant. First, political parties' candidates are old. (2) campaign promises are not fulfilled with political realities, (3) post-conflict local election organisers lack socialisation, (4) candidate candidates are considered too much talk and not realised after taking office, and (5) the community participates passively because each community has a different perspective. (6) There are more pressing issues and (3) the Abstain group (Golput) or apathetic groups: Fishing communities rarely skip district head elections in Bulukumba Regency this year. Even if fishing villages are apathetic and think an election is pointless, they believe their one vote cannot influence the outcome.
China’s Grand Strategy for Asia-Pacific: an analysis of the regional and global actors’ perspectives
Authors: Manzoor Saima , Rauf Abdul , Majeed Zunaira
Published: January 2024

The regional order of Asia-Pacific is changing dramatically; it attracted the world’s attention, especially after China’s rise as a significant emerging global power and one of the influential regional powers in Asia-Pacific. China announced its Grand Strategy (GS) in 2013 for the Asia-Pacific region. It aims to convert China into a prosperous society, establish good relations with neighbouring countries and make the region more prosperous and developed. This paper deals with how regional and global actors behave towards China’s rise and its GS in the Asia-Pacific region. What regional order is China proposing for the stability and peace of the region? Moreover, what is the expected regional order in the coming years? This article overviews the proposed Chinese GS, focusing on the goals to be achieved in the Asia-Pacific region and the regional states’ reaction towards China’s rise, its GS, and the New Regional Order while using qualitative research methods. China attempts to coordinate with the regional states through bilateral and international mechanisms as they express strategic and security concerns. Despite their worries, all the regional states are backing Chinese GS because they believe Chinese projects can satisfy their infrastructure demands and other security and economic requirements.
Beating the devil out of them: effects of corporal punishment on school children in Khyber Pakhtunkhwa, Pakistan
Authors: Saeed Muhammad , Ahmad Iqbal , Israr Muhammad
Published: January 2024

This study investigates the impact of corporal punishment on school students in Pakistan. The data was collected through a survey from N=250 students (96 females and 154 males) from government schools (n=109) and madrassas (n=141) in District Peshawar, Khyber Pakhtunkhwa, Pakistan. The study found that corporal punishment is rampant (83%) in schools and madrassas. The study reveals male students receiving more punishment and exhibiting higher levels of emotional adjustment, delinquency, and aggression with mean differences with t-value of 248= 4.92, p < .001; 0.87, p < .05; 3.67, p < .000 and 7.89, p < .001 than female students. Schools use more corporal punishment than madrassas, causing higher emotional adjustment for students, indicated by significant mean differences with a t-value of 248= 1.20, p < .003, and 3.18, p < .001. Madrassa students exhibited higher juvenile delinquency and aggression with mean differences with a t-value of 248=1.67, p < .095, and 9.90, p < .000 than school students. The predictor variables showed a positive correlation with the outcome variable (? = .034, t = .530, p < .01) and emotional adjustment (? = .388, t = 6.63, p < .001) for students.
ANALISIS PENERAPAN AKAD WAKALAH BIL UJRAH PADA APLIKASI ETHIS (APLIKASI PENDANAAN BERBASIS SYARIAH)
Authors: Galuh Narita Damayanti  , Nur Hanifah Rahmawati  , Uci Khoyrotun Nafsintomi  , Ulfah Nur Rodiyah Handayani  , Falikhatun
Published: January 2024

Penelitian ini dilakukan untuk mengetahui kesesuaian penerapan akad wakalah bil ujrah dengan prinsip syariah pada aplikasi ETHIS dan keuntungan yang akan diperoleh pihak-pihak terkait dalam penggunaan aplikasi ETHIS. Metodologi penelitian yang diterapkan adalah deskriptif kualitatif berupa studi literatur dengan pengumpulan data sekunder. Penelitian ini menghasilkan bahwa penerapan wakalah bil ujrah pada aplikasi ETHIS sudah sesuai dengan prinsip syariah. Penerapan wakalah bil ujrah dalam aplikasi ETHIS juga memberikan keuntungan pada pihak-pihak terkait yaitu pemberi dana mendapatkan imbal hasil sesuai dana yang disalurkan dan penerima dana (perusahaan pemilik proyek) mendapatkan kemudahan dalam memperoleh dana. Selain itu, aplikasi ETHIS selaku penyalur pendanaan mendapatkan upah dari setiap transaksi yang berlangsung antara pemberi dan penerima dana melalui aplikasi ETHIS.
Pengaruh Pengetahuan, Religiusias Dan Akses Media Informasi Terhadap Minat Masyarakat Berwakaf Pada Cash Waqf Linked Sukuk
Authors: Rijal Nurjannah , Mukhtar Lutfi  , Sirajuddin Sirajuddin
Published: January 2024

Melihat pada era modern saat ini, praktik perwakafan mengalami perkembangan yang signifikan berkat adanya inovasi terbaru, yaitu wakaf uang salah satunya Cash Waqf linked Sukuk. Tujuan dari penelitian ini adalah untuk menilai dampak pengetahuan, religiusitas, dan akses terhadap media informasi terhadap kemauan masyarakat untuk berwakaf melalui Cash Waqf Linked Sukuk. Penelitian ini bersifat kuantitatif, di mana data dikumpulkan melalui penggunaan data primer yang diperoleh langsung dari lapanganlalu dikelola menggunakan (SPSS) versi 21 for windows, dimana dalam penelitian data awal menggunakan data sekunder. Teknik penarikan sampel pada penelitian ini menggunakan rumus heir dengan melihat jumlah indikator dari variabel independen dan variabel dependen. Berdasarkan hasil penelitian yang diperoleh bahwa hipotesis pertama diterima, dimana pengetahuan berpengaruh secara positif dan signifikan terhadap mina masyarakat berwakaf pada cash waqf linked sukuk. Hipotesis kedua diterima, dimana religiusitas berpengaruh secara postif dan signifikan terhadap mina masyarakat berwakaf pada cash waqf linked sukuk. Hipotesis ketiga tidak diterima, dimana akses media informasi tidak berpengaruh positif dan tidak signifikan terhadap minat masyarakat berwakaf pada cash waqf linked sukuk. Hipotesis keempat diterima, Hasil penelitian yang dilakukan menunjukkan bahwa variabel Pengetahuan religiusias dan Akses Media Informasi Secara simultan atau secara bersama-sama berpengaruh Tehadap  Minat berwakaf Pada Cash Waqf Linked Sukuk.
Analisis Perilaku Masyarakat Dalam Mengadopsi Layanan Perbankan Syariah: Pendekatan Theory Of Reasoned Action (Tra)
Authors: R Torano Sahril , Marwa Kharie Sitti
Published: January 2024

Penelitian ini dilakukan untuk menguji bagaimana pengetahuan dan tingkat religiositas berpengaruh terhadap kebiasaan menabung di bank syariah yang digunakan oleh komunitas Muslim. Data dikumpulkan dari masyarakat yang memanfaatkan jasa perbankan syariah di Kota Ternate. Sebanyak 165 data berhasil dikumpulkan selama periode penelitian. Dilakukan analisis Structural Equation Model Partial Least Square (SEM-PLS) untuk menguji keabsahan (validitas dan reliabilitas) serta menguji hipotesis dalam penelitian ini. Temuan utama menunjukkan bahwa pengetahuan dan religiositas mampu menjelaskan sikap terhadap bank syariah di kalangan masyarakat Muslim. Pengetahuan adalah faktor yang paling kuat dalam mempengaruhi sikap. Sikap pada akhirnya mempengaruhi niat Muslim untuk memanfaatkan jasa perbankan syariah di Kota Ternate. Temuan penelitian ini memberikan bukti empiris bahwa sikap adalah faktor yang paling dominan dalam memengaruhi niat masyarakat Muslim untuk menggunakan layanan perbankan syariah. Temuan ini memiliki implikasi penting bagi pemasar bank syariah, karena mereka dapat meningkatkan pengetahuan yang cukup dan menonjolkan nilai-nilai keagamaan dalam upaya memasarkan produk perbankan syariah.
Analisis Strategi Membangun Loayalitas Pelanggan RM. Wiring Tasi Perspektif Ekonomi Islam
Authors: Rachmat Hidajat  , Nur Aulia
Published: January 2024

Salah satu faktor utama dalam mempertahankan persaingan dalam dunia usaha yaitu dengan meningkatkan loyalitas pelanggan karena hal tersebut merupakan bagian penting dalam mempertahankan persaingan yang berkelanjutan, jangka panjang, pembelian ulang dan hubungan pelanggan. RM. Wiring Tasi merupakan salah satu usaha rumah makan yang berdiri sejak tahun 2018. Persaingan usaha kuliner, khususnya di bidang  rumah makan ini semakin ketat sehingga diharapkan dapat mempertahankan eksistensinya. Penelitian ini bertujuan untuk mengetahui stratregi RM. Wiring Tasi dalam membangun loyalitas pelanggan dan penerapannya dalam membangun loyalitas pelanggan dalam perspektif ekonomi Islam. Jenis penelitian ini kualitatif dengan menggunakan field research (penelitan lapangan) yang menggunakan teknik pengumpulan data yakni observasi, wawancara dan dokumentasi. Teknik analisis yang digunakan adalah SWOT (Strenghs, weaknesses, opportunities). Hasil penelitian ini menunjukkan bahwa strategi membangun loyalitas pelanggan di RM.Wiring Tasi dilakukan dengan meningkatkan kualitas produk dan beragam, serta menjaga kualitas rasa, pemilihan bahan baku yang berkualitas, dengan menawarkan harga yang terjangkau untuk semua kalangan, menyediakan tempat yang nyaman dengan fasilitas yang lengkap dan pelayanan yang baik dengan menyambut pelanggan dengan ramah. RM.Wiring Tasi dalam meningkatkan loyalitas pelanggan menurut perspektif ekonomi Islam yaitu jujur dalam berbisnis, dengan pemilihan bahan hingga pengolahan makanan baik & halal, dan juga penetapan harga, menyediakan fasilitas umum yang dapat digunakan setiap saat oleh para pelanggan dan profesionalisme dalam melayani pelanggan.
Faktor-Faktor Yang Mempengaruhi Permintaan Rokok Elektrik Di Desa Gejagan Temanggung (Perspektif Ekonomi Syariah)
Authors: Ahdika Riv'a , Fitriyani Yeny , Rosowulan Titis
Published: January 2024

Tujuan penelitian adalah mengidentifikasi dan menganalisis faktor-faktor yang mempengaruhi permintaan rokok elektrik di Desa Gejagan Temanggung. Meski Temanggung dikenal sebagai daerah penghasil tembakau, namun terdapat masyarakat yang beralih ke rokok elektrik. Dengan menggunakan metode kuantitatif dan  purposive sampling, penelitian ini melibatkan 271 responden. Hasil penelitian memperlihatkan bawa permintaan rokok elektrik di Desa Gejagan dipengaruhi oleh .Usaha-usaha  produsen untuk meningkatkan penjualan rokok elektrik berdampak positif terhadap permintaan. Selera masyarakat juga turut mempengaruhi peningkatan permintaan rokok elektrik. Sedangkan jumlah penduduk serta pengetahuan tidak berpengaruh signifikan terhadap permintaan rokok elektrik di Desa Gejagan. Merokok tidak dapat memberikan manfaat apapun bagi pelakunya, sehingga membelanjakan harta untuk rokok termasuk dalam kategori pemborosan yang sangat di cela oleh islam. Penelitian ini diharapkan dapat memberikan informasi untuk dapat digunakan untuk penelitian selanjutnya.
Behaviorism, Cognitivism, and Constructivism as the Theoretical Bases for Instructional Design
Authors: Jabsheh Abd-Al-Hameeed
Published: January 2024

The aim of this study was to investigate the theoretical basis upon which the  instructional design process was  built  ; to achieve the aim of the study, a qualitative  analytical approach was followed, and the available related literature was subjected to a semi- chronological scrutiny; findings of this study indicate that three learning theories have had central effects on orienting the process of instructional design: behaviorism , cognitivism , and constructivism have indirectly established the boundaries of instructional design by directly setting the scope of applicability of the instructional practices ; the three theories of learning  behaviorism, cognitivism, and constructivism have enabled a deep understanding of how learning happens which, in turn, has sprouted  up as various instructional practices and considerations; as a result,   this study has concluded that instructional design will not be successful nor fruitful unless teachers and designers consider these instructional practices and considerations that are grounded to the educational maxims of these learning theories.  Findings of this study has also confirmed the feasibility and sustainability of  instructional design in the sense that it guarantees achieving educational goals and objectives in  less time, less effort, and less cost. Accordingly, this study has recommended a set of recommendations in this regard.
FACTORS ASSOCIATED WITH HYPERTENSION: RESULTS FROM THE INDONESIAN FAMILY LIFE SURVEY-5 IN 2014
Authors: Rahayuningrum OI Rahayuningrum OI , Probandari AN Probandari AN , Sumardiyono S Sumardiyono S
Published: January 2024

Hypertension is still a serious global problem. In developing countries prevalence of hypertension increased from 18,8% in 2002 to 29,6% in 2014.  Age, gender, Body mass index (BMI) and education can be the factors associated with hypertension.  This study aimed to describe factors associated with hypertension in Indonesia from Indonesian Family Life Surveys  (IFLS) wave 5 were conducted in 2014-2015. This  crosssectional study analyzed data by using Chi2. Respondents aged > 40 years with complete information was 12.840, obtained from questionnaire-based interview and measurement. The result showed that the prevalence of hypertension was 5.426  (42,26%). The prevalence of hypertension on age 45-59 years old was 2.553 (47,05%), and women was higher 3.078 (56,73%) than men.  Furthermore, the most prevalence of hypertension was on Body mass index (BMI) overweight 2.630 (48,47%). Respondents who had the higher level of education has the lowest prevalence of hypertension 425 (7,83%). All these results were statistically significant (P<0,001). The study found that middle-aged people, women, overweight, and lower level of education can be the factors increasing the prevalence of hypertension. Future intervention should emphasize to improve the promotion of healthy life style, education and inspire the population to maintain the ideal body weight.
Decision Support System for Strategic Planning in Educational Organization: A Survey
Authors: Coyanda John Roni , Agustri Suzan
Published: January 2024

Strategic planning models and the provision of information for decision making in complex strategic circumstances are research topics of great interest. This research addresses the issue of supporting strategic planning decision-making in educational foundations by building a Decision Support System (DSS) to be used by decision-makers in carrying out their strategic planning process, the DSS is integrated in the entire organisation's information system database. This research provides an overview of DSS, the college planning process, the development of DSS through the use of artificial intelligence, and a framework for planning activities at different levels of the organisation to develop strategic plans. Based on the strategic planning process model, a DSS framework is proposed, along with decision support approaches for various DSS modules. DSS provides the best support (at individual, group, and organisational levels) for all stages of strategic planning decision-making. By applying DSS, it is possible to create more perfect circumstances to achieve sustainable future-orientated institutional goals.
Performance Comparison of the Combination of Smarter-Fuzzy and Smarter-Fuzzy-Topsis Methods on the accuracy of the PPA Scholarship Acceptance Decision Support System
Authors: Wardana I Komang Tri Edi , Sunarya I Made Gede , Gunadi I Gede Aris
Published: January 2024

The PPA Scholarship is a scholarship intended for students who excel, are active in campus activities, and are economically disadvantaged in accordance with predetermined conditions. Currently, STAHN MPU Kuturan Singaraja in calculations often takes a long time, causing delays from the predetermined schedule and less accurate results. Based on this, it is necessary to develop a Decision Support System that can provide recommendations for prospective PPA scholarship recipients. There are 6 criteria being used, including: GPA, semester, credits, charter/certificate, assignment letter, and parent's income. In this study, comparing the performance of the combination of the Smarter-Fuzzy and Smarter-Fuzzy-Topsis methods through testing using the confusion matrix method. Smarter method is used to be able to give weighting criteria with ROC technique. The Fuzzy method is used to convert the criteria values ??for each alternative from 0 to 1. The Topsis method is used to rank. The ranking results of the combination Smarter-Fuzzy method show an accuracy rate of 86.6%, and the combination of the Smarter-Fuzzy-Topsis method of 75.5%.
Classification of diseases in snake plants using convolutional neural network
Authors: Athalia Kensa , Tiffany Tiffany , Setiawan Kevin Adhi Dhamma , Ferrari Bertrand , Lubis Chairisni
Published: January 2024

snake plant has an important role in human life, as well as in increasing the aesthetic value of the environment. Limited knowledge about diseases in snake plants has a crucial result in improper handling and control when the plant is attacked by disease. Advances in deep learning technology and Convolutional Neural Network (CNN) have presented high opportunities with their advantages in recognizing patterns and features from image data. This research will use a CNN model with VGG-19 architecture to classify diseases in the leaves of the snake plant. It is expected that by using the pre-trained VGG-19 model, the model can recognize complex visual patterns in snake plants. Diseases to be classified include several types of diseases that often attack snake plants such as anthracnose, rust, water soaked lesion, and healthy plants for comparison. The highest value of training accuracy reached a value of 98.08%, validation accuracy of 94.02%, and testing accuracy reached 94%.
Implementation of the ORESTE Method in Determining the Selection of Service Ambassador Events
Authors: Idaman Akbar , Arahman Hamjah , Muis Abdul , Muhammad Raja Gunung Tar , Eldo Handry
Published: January 2024

The selection of candidates to become Service Ambassadors is an important and complex process. Assessors need to consider many factors and the relative weight of each factor to ensure the best candidate is selected for the position. One method that can be used in candidate selection is the ORESTE method. The ORESTE method is a multi-criteria decision-making method developed by J.P. Brans and B. Mareschal in 1994. This method allows assessors to aggregate multiple criteria and consider the relative weight of each criterion to compare alternatives and produce a ranking of candidates based on the highest relative value. In the context of Service Ambassador selection, the ORESTE method can assist assessors in solving complex decision-making problems and ensuring the best candidate is selected for the position. The method allows raters to consider multiple criteria and consider the relative weight of each criterion, resulting in a ranking of candidates based on the highest relative value. Thus, the use of the ORESTE method in determining the selection of Tourism Ambassadors can simplify and speed up the candidate selection process, as well as increase accuracy and satisfaction in decision making. By using the ORESTE method, the results of the decision to select the winner of the Service Ambassador event are obtained with a preference value of 4.42
Design And Build A Website-Based Accounting Information System With Extreme Programming Methods
Authors: Alamsyah Noor , Murpratiwi Santi Ika , Albar Moh Ali , Jatmiko Andy Hidayat , Huwae Raphael Bianco , Trieanto Agil
Published: January 2024

The need to use information systems in the digital world is absolutely necessary for a company. With an information system, it will be easier for companies to process data, store data and make decisions. One of the information system implementations that companies need is an accounting information system that regulates cash receipts and disbursements. However, currently there are still many companies that still store their transaction data traditionally using Microsoft Excel and are not yet computerized. Based on data obtained from interviews conducted with a company accountant, it is known that errors occurred when processing data which had an impact on financial reports, namely when inputting data into Microsoft Excel there was still data that was missed, resulting in incorrect financial reports. balance due to errors in recording transactions. By implementing a website-based cash accounting information system, it makes it easier for accountants to collect data in the cash book. This information system was created using the PHP programming language with Laravel as the framework and Extreme Programming as the development method. Extreme Programming was chosen because it requires good and regular communication with the client to adjust system needs. This information system consists of 3 iterations which have a processing time of 32 days. System testing was carried out using User Acceptance Testing with an average percentage obtained of 86.8%. These results can be indicated that the system is running properly and can be understood well by the client or user.
Use of RESNET-50 Neural Network in Diagnosing Diseases Mango Leaves
Authors: Hindarto Djarot
Published: January 2024

Using a state-of-the-art convolutional neural network, specifically RESNET-50, for disease diagnosis on mango leaves is the focus of this research. The end goal is to develop a trustworthy method of mango plant disease detection using leaf image analysis. The approach used comprised gathering a sizable dataset encompassing a range of mango leaf diseases. Afterward, a classification system was developed by training the RESNET-50 model on image data. The system is able to learn extraordinarily intricate and profound visual patterns in pictures of mango leaves thanks to RESNET-50's deep and complicated architecture, which improves feature extraction. With a Test Accuracy of 99.16% and a Test Loss of only 0.4332, the results demonstrate a very reliable system. This impressive level of precision verifies that the system is capable of correctly distinguishing and categorizing mango leaf diseases. Consequently, this case demonstrates promising agricultural applications of the RESNET-50 model and offers a dependable and effective means of disease detection in mango plants. This study adds to the growing body of knowledge that can aid agricultural professionals and farmers in the early detection of disease symptoms on mango leaves, allowing for the prompt implementation of preventative measures. These findings also have broader implications, such as the potential for better agricultural productivity and management brought about by the use of comparable technologies for disease analysis in different crops.
Analysis of Base Station Replacement Using the Cost-231 Propagation Model and Stanford University Interim (SUI) on the LTE Network in Pauh District, Padang
Authors: Yuhanef Afrizal , Zurnawita Zurnawita , Pratiwi Nadia , Setiawan Herry
Published: January 2024

The increase in network traffic is caused by an imbalance between the number of users and the provision of network capacity, causing the decrease of network performance. This is often found in densely populated areas with a large number of users so that the use of cellular access services is fairly high. For this reason, it is necessary to optimize the network, one of which is by replacing existing devices (swap). Site 31140_Lubuk Bukit, Pauh District, Padang is one of the base stations that has a performance issue, which has a low throughput value (±5Mbps) and a high traffic value of 83 GB/day with Flexi Multi Radio device type and sectoral antenna. Therefore, the existing equipment is replaced, from the FMR type to the Airscale type which minimizes the use of sectoral equipment and antenna types (3 sectors) to multisectoral (6 sectors). The measurement process is carried out using two methods, namely the COST-231 propagation model for the frequency of 1800 MHz and the Stanford University Interim (SUI) for the frequency of 2100 MHz then the Key Performance Indicator (KPI) parameters with the parameters of accessibility, retainability, integrity, mobility, usage, propagation loss and receive power. The results showed that the optimization carried out by the swap method could improve the site's performance, namely a decrease in traffic reaching 31.42% and an increase in throughput up to 60% and followed by an increase in other parameters that have met the threshold value.
E-Commerce Application with Web Engineering Method Website Based
Authors: Hasibuan Nurhabibah Febrianty , Putri Raissa Amanda , Harahap Aninda Muliani
Published: January 2024

CV Jon Indo merupakan perusahaan yang bergerak di bidang material pabrik sebagai supplier, kontraktor, dan stockist yang memperdagangkan material pabrik lainnya. Untuk bersaing secara global, salah satu alat atau tools yang dapat menjangkau pasar yang diharapkan dalam hal ini adalah peningkatan penjualan produk. CV. Jon Indo belum memiliki sistem pemesanan yang mampu menjangkau banyak konsumen yaitu masih menjual barangnya melalui WhatsApp dan merekapitulasi data penjualan secara manual sehingga terdapat permasalahan seperti kesalahan penjadwalan pengiriman barang, serta kesalahan input produk. pesanan sehingga menyebabkan penjualan menurun. Penelitian ini bertujuan untuk merancang sebuah aplikasi yang ditampilkan pada CV Jon Indo untuk meningkatkan volume penjualan dan memperluas pemasaran produk CV Jon Indo. Sistem yang dibangun mempunyai fitur promosi dan penambahan CTA (call to action) pada website, kemudian pada sistem pengiriman barang peneliti membuat fitur tracking dan fitur permintaan barang sesuai keinginan pelanggan. Aplikasi berbasis web ini dirancang dengan menggunakan metode Research and Development (RnD) dan Metode Web Engginering sebagai perancangan aplikasi E-Commarece. Bahasa pemrograman yang digunakan untuk implementasi E-comarece menggunakan bahasa pemrograman PHP dan database MySql. Aplikasi yang dibuat dapat digunakan untuk memudahkan penjualan, pembelian dan penyebaran informasi produk terbaru.
Building Digital Platform for Property Marketing Sales with an Enterprise Architecture Approach
Authors: Hindarto Djarot , Putra Tri Dharma
Published: January 2024

Constructing a digital platform is an essential priority in an era where technology is the cornerstone of success in the real estate marketing and sales sector. Nevertheless, the advancement of these platforms is frequently impeded by obstacles pertaining to integration, security, and scalability, which stem from their inadequate establishment. Existing platforms' incapability to rapidly adapt to shifting market dynamics frequently impedes the development of innovative digital solutions for the real estate industry, which provided the impetus for this study. The fundamental objective of this study is to create a framework capable of accommodating scalable business expansion, enhancing data security, and overcoming integration obstacles. Utilizing Enterprise Architecture principles in the design and implementation of the platform, as well as conducting a comprehensive examination of the current IT infrastructure, stakeholder requirements, and mapping of pertinent business processes, will comprise the research methods. The results of this study are expected to contribute to a wholehearted comprehension of how the Enterprise Architecture approach can function as a resilient framework for the development of effective digital platforms. In the contemporary digital age, this platform is expected to furnish solutions capable of swiftly adjusting and reacting to evolving market dynamics and changes, thereby facilitating the marketing and sales requirements of real estate. Finally, this research endeavors to offer a comprehensive and practical perspective on constructing a robust and flexible digital infrastructure that can effectively cater to the demands of the real estate sector in the current era of digitalization.
Comparative Study of Iconnet Jabodetabek and Banten Using Linear Regression and Support Vector Regression
Authors: Hasanudin Muhaimin , Prihandi Ifan , Nazua Sifania
Published: January 2024

PT PLN Indonesia Comnets Plus has little information regarding future customer growth, making it difficult to take steps to meet customer needs. This research aims to predict customer growth in the future based on quantitative data from the previous year, where the output provided produces data in the form of numbers that are analyzed using statistical methods. The hope is to provide information to maximize customer growth with the minimum area or bandwidth used by the company. This research uses linear regression and support vector regression (SVR) algorithms using a company secondary dataset of 252 data points with 5 attributes. Data was collected during the last one-year period, from January to December 2021. The results of the research show that predictions using both algorithms have increased, customer growth when viewed from the number of customers, bandwidth, and regional data has increased significantly. This can be seen from the value of the number of customers, which continues to increase, while the highest number of customers falls in December, the most requested bandwidth is 20 mbps, and the largest customer area is in the Depok area. The results of the research show that the SVR algorithm is superior in terms of mean absolute percentage error (MAPE): 0.02% MAPE, 0.10 MAE, and 0.99 RMSE, while for linear regression, the MAPE values were 36.28%, MAE 201, and RMSE 0.80.
Enterprise Architecture Design and Implementation for IoT Integration in Manufacturing Electrical Panels
Authors: Hindarto Djarot , Hendrata Ferial , Wahyuddin Mohammad Iwan , Wijanarko Sigit
Published: January 2024

Internet of Things technology has transformed manufacturing efficiency and optimization. Electrical panel manufacturing benefits from Internet of Things for better functionality, predictive maintenance, and smoother operations. This study examines the design and implementation of an Enterprise Architecture strategy for seamless Internet of Things integration in electrical panel manufacturing. This research aims to explain Enterprise Architecture and use it as a framework for Internet of Things integration in electrical panel manufacturing. This study examines the complex relationships between Internet of Things components, their connectivity, and a broad Enterprise Architecture framework needed to organize their functionality. This integration uses Enterprise Architecture principles to optimize resource use, reduce downtime, and improve manufacturing efficiency. This effort involves analyzing existing infrastructure, identifying Internet of Things deployment points, and creating an Enterprise Architecture plan that meets business goals. This research emphasizes the need for close IT-operations collaboration to achieve a unified vision and smooth Internet of Things integration. This research addresses Internet of Things implementation challenges in manufacturing, including security, data interoperability, and scalability. Strong governance and adaptable architecture are stressed to address these challenges within an Enterprise Architecture framework. This research aims to help electrical panel manufacturers harness the transformative power of the Internet of Things. Strategic Enterprise Architecture helps businesses navigate complexity, leverage Internet of Things, and create a more agile, connected, and optimized manufacturing landscape.
Comparison Accuracy of CNN and VGG16 in Forest Fire Identification: A Case Study
Authors: Hindarto Djarot
Published: January 2024

The current research aims to assess the precision of forest fire detection using CNN and VGG16 models, specifically in the context of fire identification. While both models have demonstrated significant promise in visual pattern recognition, a comprehensive analysis regarding their specific benefits in forest fire identification is still needed. The rationale behind this research stems from the significance of promptly identifying forest fires as a preemptive measure to mitigate their detrimental effects on the environment and society. The employed approach involves the application of transfer learning techniques on a diverse and extensive dataset encompassing different forest fire scenarios. The dataset was used to train both CNN and VGG16 models. The test results indicated that the CNN model achieved a forest fire detection accuracy of 96%, while VGG16 achieved 98% accuracy. The primary objective of this research is to enhance comprehension regarding the merits and demerits of each model in the context of forest fire identification scenarios. While VGG16 exhibits marginally superior performance in identifying forest fires, this discrepancy offers valuable insight into the practical applicability of these two models for fire detection in real-world scenarios. These findings establish a solid basis for the advancement of more dependable and efficient early detection technology in the prevention and management of forest fires in the future. This can be accomplished by capitalizing on the unique capabilities of each model to optimize their performance in practical scenarios.
Web-based Ukp Public Health Center Services System Using the Waterfall Method
Authors: Fatmariani Fatmariani , Saputra Andri , Sari Lindia Guspita
Published: January 2024

Basic health services for the community are community health centers which have Health Service Units (UKP). UKP provides general health services to the community, which has many polyclinics and is interconnected with doctors, patients and administration. So far, in processing service data, there have been difficulties in general polyclinic units when receiving patient information, which is still done by recording it in a book, so there are often errors in information in patient registration services that should be received by the polyclinic that corresponds to the target polyclinic. The storage of patient data based on poly is not yet organized because the files that are stored and archived do not exist in each unit, so that when presenting data and searching you have to confirm who is archiving it, making it difficult for the data or information service department and services to be hampered. The method used in this research is the Waterfall method. This service system uses the waterfall method. The service system provides benefits in inputting and presenting data, searching for patient data such as registering online, then checking medical records to go to the clinic, online medical record results and viewing prescription information, then doctors can meet patients who carry out examinations. This system can provide good benefits and increase effectiveness and efficiency in health services for the surrounding community.
Comparing Neural Networks, Support Vector Machines, and Naïve Bayes Algorhythms for Classifying Banana Types
Authors: Jinan Abwabul , Siregar Manutur , Rolanda Vicky , Suryani Dede Fika , Muis Abdul
Published: January 2024

One of the most significant fruits for human consumption is the banana. Fruit consumption not only promotes health but also lowers the risk of heart disease, stroke, digestive issues, hypertension, some cancers, cataracts in the eyes, skin ailments, cholesterol reduction, and, perhaps most importantly, boosts immunity.The study included secondary data, which is information gathered from online resources like Kaggle. Ten categories of bananas will be identified from the 531 total varieties of bananas used as a train dataset: Ambon bananas, Stone bananas, Cavendish bananas, Kepok bananas, Mas bananas, Red bananas, plantains, Milk bananas, Horn bananas, and Varigata bananas. The development of information technology for image object recognition has become a very intriguing topic along with the rapid advancement of society, and it is undoubtedly directly tied to information data. In order to examine Naive Bayes, Support Vector Machine, and Neural Network techniques for classifying banana types, researchers will use the SqueezeNet Deep Learning model to extract features from photos. The study's findings will provide empirical evidence for the distinctions between each algorithm's accuracy, recall, and precision. Based on the collected results, the Neural Network (NN) method is the best in terms of classification, with accuracy of 72.3%, precision of 72.1%, and recall of 72.3%.
Exploration of Artificial Intelligence (AI) Application in Higher Education
Authors: Sallu Sulfikar , Raehang Raehang , Qammaddin Qammaddin
Published: January 2024

This article explores the implementation of Artificial Intelligence (AI) in higher education in Kolaka, Southeast Sulawesi. The research aims to identify and analyze how AI can be used to enhance the learning process and academic administration in universities. The research method includes primary data collection through interviews and observations, as well as secondary data from academic sources. The results show that AI contributes significantly to operational efficiency and the learning experience. This research provides new insights into the application of AI in the academic environment and offers recommendations for higher education institutions that want to integrate AI technology
Optimizing Transportation Services: Using TOGAF for Efficiency and Quality
Authors: Wedha Bayu Yasa , Hindarto Djarot
Published: January 2024

In the rapidly expanding transportation industry, it is crucial to make focused and coordinated efforts to improve services with maximum efficiency. This paper seeks to explore the optimization of the Enterprise Architecture approach to effectively attain the primary objectives of the transportation industry, specifically the enhancement of service quality. The main emphasis is on implementing the enterprise architecture methodology of the open group architecture framework on a strategic basis. This paper examines how Enterprise Architecture can offer systematic and quantifiable solutions by identifying problems in infrastructure and operational processes. The research aims to provide comprehensive insights into how the Enterprise Architecture concept can optimize operational efficiency and streamline processes in the provision of transportation services. By implementing TOGAF, it is expected that the integration of systems will be seamless, technology usage will be optimized, and customer experiences will be improved. To summarize, this paper demonstrates the desire to improve transportation services. It explains how Enterprise Architecture methods, specifically within the TOGAF framework, can directly lead to advantages such as increased operational efficiency and improved service quality. This paper aims to be easily understood by a wide range of readers, including management, Information Technology professionals, and other stakeholders in the transportation industry. It avoids using overly technical language to ensure accessibility and comprehensibility.
Online Tutoring's Technological Foundation and Future Prospects: Enterprise Architecture Development
Authors: Ningsih Sari , Wedha Bayu Yasa , Sholihati Ira Diana
Published: January 2024

This study examines the advancement of enterprise architecture with the objective of enhancing the technological infrastructure and long-term strategies in the online student tutoring sector. Online tutoring has emerged as the primary option for supporting the learning process in the rapidly advancing digital age. Identify the essential elements involved in establishing robust groundwork for an online tutoring platform, with a focus on highlighting the strategic significance of enterprise architecture. Examining the technological infrastructure that is customized to fulfill the demands of the tutoring sector constitutes the research methodology utilized in this investigation. Enterprise architecture serves as the fundamental framework that enables smooth integration among different systems, applications, and services used in online tutoring. Creating an enterprise architecture will subsequently generate a well-defined technology roadmap, empowering tutoring companies to innovate with greater precision. This architecture enhances the role of online tutoring in providing a more adaptable and personalized learning experience for students by utilizing advanced technologies like artificial intelligence and data analytics. This study emphasizes the significance of enterprise architecture in facilitating educational transformation and establishing a robust framework for online tutoring companies to progress efficiently. To foster the growth and advancement of the online tutoring industry, it is crucial to strategically enhance the technological infrastructure and implement a well-designed enterprise architecture. This will enable the sector to play a substantial role in shaping a dynamic and forward-thinking educational landscape.
The Impact of Big Data on Enterprise Architectural Design: A Conceptual Review
Authors: Sholihati Ira Diana , Wedha Bayu Yasa , Ningsih Sari , Sari Ratih Titi Komala
Published: January 2024

A conceptual analysis of the impact of big data on enterprise architecture design is provided in this article. Within the framework of expanding digitalization, big data has emerged as a pivotal component in delineating the strategy and framework of organizations. The objective of this study is to investigate the ways in which big data can impact and facilitate the growth of efficient enterprise architecture. Qualitative analysis is the method utilized by researchers to comprehend the intricacies of the interaction between enterprise architecture and big data. This article examines several facets by conducting an extensive review of the literature, including the ways in which big data can facilitate the enhancement of analytical capabilities, innovation in business processes, and strategic decision-making. Emerging challenges, including data security, privacy, and the necessity for IT infrastructure adaptation, are also considered in this study. The outcomes of the review indicate that the implementation of big data in enterprise architecture may substantially alter business strategies and operations. These encompass enhanced system adaptability, customized service provision, and predictive functionalities. Nonetheless, these modifications necessitate modifications to privacy policies, risk management, and data governance. This study presents novel findings regarding the influence of big data on enterprise architecture and provides researchers and practitioners with recommendations for developing and executing successful big data strategies. This research thereby enhances the current body of literature and offers practical guidance in the field.