Abstract:Abstract: Current technological developments play a crucial role in driving the tourism industry, one of which is the utilization of technology. However, tourist attractions in border areas face challenges such as limited…
d access to digital information and a lack of interactive media to present local wisdom such as history, customs, and culture. This study aims to develop and implement a QR Code-based Web-based Augmented Reality (WebAR) to digitize local wisdom at tourist attractions, making information more engaging and accessible to tourists. The research methodology adopted three approaches: UCD (User-Centered Design), Agile methods, and TAM (Technology Acceptance Model). This platform contains the local wisdom of two tourist villages in the border area, namely Sebujit Village and Jagoi Babang Village. The results of testing and evaluation using multiple linear regression and SEM-PLS methods on 45 respondents showed that the WebAR technology acceptance model was significant (F = 6.583; p < 0.001). User Attitude (ATU) is a key variable that significantly influences Intention to Use (BI) (β=0.429; p=0.001), while Ease of Use (PEOU) and Benefit (PU) indirectly influence BI through ATU. As additional validation, the classification test yielded an accuracy of 88.90% and an F1-score of 0.941, confirming that QR Code-based WebAR is effective and well-received as a digital information and promotion medium for local wisdom in border areas.
Keywords: border areas; local wisdom; qr code; tourist attractions; web augmented reality.
Abstrak: Perkembangan teknologi saat ini memiliki peran penting dalam mendorong industri pariwisata, salah satunya dengan pemanfaatan teknologi. Namun, objek wisata di daerah perbatasan menghadapi tantangan seperti keterbatasan akses informasi digital dan kurangnya media interaktif untuk menyajikan kearifan lokal seperti sejarah, adat istiadat, dan budaya. Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan Web-based Augmented Reality (WebAR) berbasis QR Code untuk digitalisasi kearifan lokal objek wisata, menjadikan informasi lebih menarik dan mudah diakses bagi wisatawan. Metodologi penelitian mengadopsi tiga pendekatan, UCD (User-Centered Design), metode Agile, dan TAM (Technology Acceptance Model). Platform ini memuat kearifan lokal dua desa wisata di daerah perbatasan, yaitu Desa Sebujit dan Desa Jagoi Babang. Hasil pengujian dan evaluasi dengan metode regresi linier berganda dan SEM-PLS pada 45 responden menunjukkan bahwa model penerimaan teknologi WebAR ini signifikan (F = 6.583; p < 0.001). Sikap Pengguna (ATU) menjadi variabel kunci yang berpengaruh signifikan terhadap Niat Penggunaan (BI) (β=0.429; p=0.001), sementara Kemudahan Penggunaan (PEOU) dan Manfaat (PU) memengaruhi BI secara tidak langsung melalui ATU. Sebagai validasi tambahan, uji klasifikasi menghasilkan akurasi 88,90% dan F1-score 0,941, yang menegaskan bahwa WebAR berbasis Kode QR efektif dan dapat diterima dengan baik sebagai media informasi dan promosi digital kearifan lokal di wilayah perbatasan.
Kata Kunci: daerah perbatasan; kearifan lokal; qr code; web augmented reality.
Abstract:Abstract: Non-performing loans remain one of the main challenges faced by cooperatives, particularly when the loan eligibility assessment process is still conducted manually. This traditional approach tends to be time consuming,…
nsuming, subjective, and prone to inaccurate decisions. This study aims to develop a predictive model for borrower eligibility using the Support Vector Machine (SVM) algorithm as a more efficient and objective machine learning-based solution. A total of 1,000 loan history records were processed using RapidMiner software, taking into account variables such as salary, years of employment, loan amount, monthly installment, employment status, monthly expenses, number of dependents, housing status, age, and collateral value. The model’s performance was evaluated using a confusion matrix and classification metrics including accuracy, precision, recall, and kappa. The results indicate that the SVM model achieved an accuracy of 90.05%, precision of 90.13%, recall of 90.05%, and f1 score of 90,08%, reflecting a strong performance in classifying borrower eligibility. The application of this method makes a significant contribution to the development of data driven decision support systems within cooperative environments. This finding expands the scientific understanding in the field of microfinance and supports the implementation of artificial intelligence technologies in making decisions that are more precise, rapid, and accurate.
Keywords: cooperative; eligibility prediction; machine learning; non-performing loan; SVM
Abstrak: Kredit macet merupakan salah satu permasalahan utama yang dihadapi koperasi, terutama ketika proses penilaian kelayakan peminjam masih dilakukan secara manual. Pendekatan ini cenderung lambat, subjektif, dan berisiko menghasilkan keputusan yang kurang akurat. Penelitian ini bertujuan untuk membangun model prediksi kelayakan peminjam menggunakan algoritma Support Vector Machine (SVM) sebagai solusi berbasis machine learning yang lebih efisien dan objektif. Sebanyak 1.000 data riwayat pinjaman diolah menggunakan tools RapidMiner dengan mempertimbangkan variabel: gaji, lama bekerja, besar pinjaman, angsuran per bulan, status pegawai, pengeluaran bulanan, jumlah tanggungan, status rumah, umur, dan nilai jaminan. Evaluasi model dilakukan menggunakan confusion matrix dan metrik klasifikasi seperti akurasi, presisi, recall, dan kappa. Hasil menunjukkan bahwa model SVM mencapai akurasi 90,05%, presisi 90,13%, recall 90,05%, dan f1 score 90,08%, yang mencerminkan performa model yang sangat baik dalam mengklasifikasikan kelayakan peminjam. Penerapan metode ini memberikan kontribusi penting dalam pengembangan sistem pendukung keputusan berbasis data di lingkungan koperasi. Temuan ini memperluas wawasan keilmuan di bidang keuangan mikro dan mendukung penerapan teknologi kecerdasan buatan dalam pengambilan keputusan yang lebih tepat, cepat, dan akurat.
Kata Kunci: koperasi; kredit macet; machine learning; prediksi kelayakan; SVM
Abstract:Abstract: A research institute explains that with 83.7 million people using the Internet, Indonesia is among the top 20 internet users globally. Various individual or group activities require an internet network, one of…
which is playing games, for developments in the gaming sector, especially the MOBA (Massive Online Battle Arena) genre game, is being hotly discussed. There are various kinds of MOBA genre games, one of which is the Mobile Legends game. Many E-Sport Mobile Legends teams, especially in Asia, make this phenomenon a business space to generate large profits. In this study, the researcher recommends a good machine learning algorithm to predict the outcome of Mobile Legends matches. Of the 600 match history data analyzed, this study recommends the Artificial Neural Network (ANN) and Random Forest (RF) algorithms as the right algorithms to predict the outcome of the match. Prediction results from each algorithm can reach 82% and 80% accuracy. These findings can help the E-sports analysis team build their match strategy.
Keywords: artificial neural networ; machine learning; mobile legend; prediction; random forest
Abstrak: Sebuah lembaga penelitian menjelaskan bahwa dengan 83,7 juta penduduk yang menggunakan Internet, Indonesia termasuk di dalam 20 besar pengguna internet secara global. Berbagai aktivitas individu atau kelompok membutuhkan jaringan internet, salah satunya adalah bermain game, untuk perkembangan pada sektor game khususnya game bergenre MOBA (Massive Online Battle Arena) sedang hangat diperbincangkan. Ada berbagai macam game bergenre MOBA, salah satunya game Mobile Legends. Banyak tim E-Sport Mobile Legends khususnya di asia menjadikan fenomena ini sebagai ruang bisnis untuk menghasilkan keuntungnya yang besar. Dalam penelitian ini, peneliti merekomendasikan algoritma pembelajaran mesin yang baik untuk memprediksi hasil pertandingan Mobile Legends. Dari 600 data riwayat pertandingan yang dianalisis, penelitian ini merekomendasikan algoritma Artificial Neural Network (ANN) dan Random Forest (RF) sebagai algoritma yang tepat untuk memprediksi hasil pertandingan. Hasil prediksi dari masing-masing algoritma dapat mencapai 82% dan akurasi 80%. Temuan ini dapat membantu tim analisis E-sports membangun strategi pertandingan mereka.
Kata kunci: artificial neural network; machine learning; mobile legend; prediksi; random forest
Abstract:Abstract: Consumer demand for drugs during this pandemic is so high that pharmacies must be able to estimate drug sales to meet consumer demand. The history of monthly sales transactions is only a report that causes data…
to accumulate if not processed properly. There needs to be a system for estimated drug sales in order to reduce costs in drug supply so that consumer needs are met. This study aims to analyze in order to predict drug sales at Apotek Manjur Marendal so that it can control drug stock supplies so that losses can be minimized. Drug sales data samples were taken from January 2021 to December 2021. The web-based application was successfully applied to predict drug sales. The prediction results are stable in terms of sales of ± 5000 drugs per month in 2022. Based on the calculation results, the lowest accuracy is 64% and the highest accuracy is > 90%. Data mining techniques with the trend moment method can be applied to web-based applications to predict drug sales.
Keywords: data mining; drugs; drugstore; prediction; trend moment
Abstrak: Permintaan konsumen terhadap obat-obatan pada masa pandemi ini sangat tinggi sehingga membuat pihak apotik harus dapat mengestimasi penjualan obat untuk memenuhi permintaan konsumen. Riwayat transaksi penjualan perbulan hanya sebagai laporan yang menimbulkan data menumpuk bila tidak diolah dengan baik. Perlu adanya sebuah sistem untuk penjualan obat diestimasi agar mengurangi biaya dalam penyediaan obat sehingga terpenuhi kebutuhan konsumen. Penelitian ini bertujuan untuk menganalisa agar dapat memprediksi penjualan obat pada Apotik Manjur Marendal sehingga dapat mengendalikan persediaan stok obat dengan demikian kerugian dapat diminimalisir. Sampel data penjualan obat diambil mulai dari bulan Januari 2021 hingga Desember 2021. Aplikasi yang dibangun berbasis web berhasil diterapkan untuk memprediksi penjualan obat. Hasil prediksi stabil diangka penjualan ±5000 obat perbulan pada tahun 2022. Berdasarkan hasil perhitungan mencapai akurasi terendah 64% dan akurasi tertinggi > 90%. Teknik data mining dengan metode trend moment dapat diterapkan pada aplikasi berbasis web untuk melakukan prediksi penjualan obat.
Kata kunci: apotik; data mining; obat-obatan; prediksi; trend moment
Abstract:Abstract: East Nusa Tenggara, especially Oemasi village has rich natural potential so that the people of Oemasi village can produce various kinds of high-quality local crafts and have high selling points. The craft that…
is produced is usually in the form of woven cloth, scarf, ukulele, and others. The problem experienced by the Oemasi village community in selling crafts is the limited promotional media with conventional methods and the method of selling local crafts via social media also has shortcomings that are stock items that still have to be updated manually and sales history that is still recorded manually. This research aims to engineer the application of local craft sales in East Nusa Tenggara based on android which can be used as an alternative to assist the people of Oemasi village in selling local crafts in East Nusa Tenggara so that sales problems with conventional methods or through social media can be resolved. The software development model used in this research is the Waterfall model.
Keywords: android; East Nusa Tenggara; local craft
Abstrak: Nusa Tenggara Timur khususnya desa Oemasi memiliki potensi alam yang kaya sehingga masyarakat desa Oemasi dapat menghasilkan berbagai macam kerajinan lokal yang sangat berkualitas dan memiliki nilai jual yang tinggi. Kerajinan yang dihasilkan biasanya berupa kain tenun, selendang, ukulele dan lain-lain. Permasalahan yang dialami masyarakat desa Oemasi dalam menjual kerajinan adalah terbatasnya media promosi dengan metode konvensional dan metode penjualan kerajinan lokal via media sosial juga memiliki kekurangan yaitu stok barang yang masih harus diupdate secara manual dan history penjualan yang masih dicatat secara manual. Penelitian ini bertujuan untuk merekayasa aplikasi penjualan kerajinan masyarakat NTT berbasis android yang dapat dijadikan sebagai alternatif untuk membantu masyarakat desa Oemasi dalam melakukan penjualan kerajinan lokal masyarakat NTT sehingga permasalahan penjualan dengan metode konvensional atau melalui media sosial dapat diatasi. Model pengembangan perangkat lunak yang digunakan dalam penelitian ini adalah model Waterfall.
Kata kunci: android, kerajinan lokal; Nusa Tenggara Timur
Abstract:Abstract: A problem requires a solution to solve it. One of them is by using Prediction (Forcasting). Prediction is used to assess the prediction of conditions in the future. at AMIK Royal Kisaran, when it comes to making…
g lecture schedules often hampered because there is no estimated number of students. The data used in this study is the data history of the last 15 Academic Years, from 2003/2004 to 2017/2018. Then the data is processed with the Single Exponential Smoothing Method. Alpha value 0 <α <1. Single Exponential Smoothing makes a comparison with the alpha value until alpha is found which has the minimum error. To find the value of the error, the MSE (Mean Square Error) method is used. The results of the testing of this method are in the academic year 2018/2019 prediction of the number of students for the Informatics Management Study Program as many as 89 people and for Students for the Computer Engineering Study Program as many as 30 people. The Single Exponential Smoothing method can predict the number of students in the next period.
Keywords: Prediction; Number of Students; Single Exponential Smoothing; Alpha Value; MSE
Abstrak: Suatu masalah memerlukan sebuah solusi untuk menyelesaikannya. Salah satunya dengan menggunakan Prediksi (Forcasting). Prediksi digunakan untuk menilai prakiraan keadaan dimasa. di AMIK Royal Kisaran, ketika akan membuat jadwal kuliah sering terhambat karena tidak adanya perkiraan jumlah mahasiswa. Data yang digunakan pada penelitian ini adalah histori data 15 Tahun Akademik terakhir, mulai 2003/2004 sampai dengan 2017/2018. Kemudian data diolah dengan Metode Single Exponential Smoothing. Nilai alpha 0<α<1. Single Exponential Smoothing melakukan perbandingan dengan nilai alpha tersebut sampai ditemukan alpha yang memiliki error paling minimum. Untuk mencari nilai Error digunakan Metode MSE (Mean Square Error). Hasil dari pengujian terhadap metode ini adalah pada Tahun akademik 2018/2019 prediksi jumlah Mahasiswa untuk Program Studi Manajemen Informatika sebanyak 89 orang dan untuk Mahasiswa untuk Program Studi Teknik Komputer sebanyak 30 orang. Metode Single Exponential Smoothing dapat membantu prediksi jumlah mahasiwa pada satu periode kedepan
Kata kunci: Prediksi; Jumlah Mahasiswa; Single Exponential Smoothing; Nilai Alpha; MSE
Abstract:Objectives - Intellectual curiosity about Islamic entrepreneurship, Islamic finance and Sustainable Development Goals (SDGs) whose issues have increased recently in various sharia sectors. Design/Methodology/approach - Based…
ased on the scopus database, descriptive bibliometric analysis with the visualization tool VosViewer was used to assess 385 documents on Islamic entrepreneurship, Islamic Finance and SDGs, which peaked in 2024 based on the period of 2010-2024. Findings- This study found many articles on Islamic entrepreneurship, Islamic finance and the SDGs. According to this study, Malaysia is the country that publishes the most publications of this research compared to other countries. Then the University of Brunei Darussalam was the most prolific affiliate to publish articles on this. The history of article production growth that started from 2010-2024, continues to increase and peaks in 2024, with 55 documents and the lowest number of documents in 2010 with 10 published documents. This is increasing because there may be a need for sharia synergy to increase Islamic entrepreneurship in Islamic finance and sustainable development (SDGs). Romadoni, V as the most prolific writer about this research. Islamic entrepreneurship, Islamic finance and SDGs provide the potential for sustainable development and is in line with the goals of sharia, namely maqashid sharia for the benefit of the ummah, this encourages sustainable development (SDGs) through Islamic entrepreneurship and Islamic finance. Practical Implications - Research can be used as a useful research proposal for future researchers who use bibliometric methods in systematic literature review by introducing the network of various variables related to this research, then by getting to know famous authors in the field can provide opportunities to collaborate for further research. In addition, this study makes it easier for future researchers to be able to expand even more by looking at the variables obtained in this study as gaps to be researched further.
Abstract:This research article aims to analyze factors associated to participation in the COVID-19 vaccine in the Noyontaan Primary Healthcare Center area, Pekalongan City. This research is a type of analytical research and the design…
esign used in this research is case control. This research uses primary data and secondary data. Samples were 46 cases and 46 controls using random sampling technique. The instrument used was a structured questionnaire. Data were analyzed with chi-square test. Results showed that knowledge (OR=4.136; 95% Cl=1.692-10.110), perception towards vaccine safety (OR=2.46; 95% Cl=1.055-5.736) were associated to COVID-19 vaccine participation. Meanwhile attitude (OR=1.312; 95% Cl=0.569-3.026), history of comorbid disease (OR=0.54; 95% Cl=0.236-1.237), perception towards AEFI (OR=0.825; 95% Cl=0.35-1.949), perception towards COVID-19 impact (OR=1.192; 95% Cl=0.524-2.709) were not were associated to COVID-19 vaccine participation.
Abstract:The purpose of this writing is to find out the history of the dynamics of renewal of Islamic educational institutions in the archipelago, namely surau, Islamic boarding schools and madrasas in the history of Islamic education.…
ation. The Indonesian Islamic community must pay attention to the development of Islam, the history of education from time to time, from the time of the Prophet Muhammad, friends of Khulafaurrasyidin, Tabi', Tabiuttabi'in to the present day. History teaches us to look at the development of education that we have gone through so that it can be used as an evaluation and education for us and future generations. The Muslim community deserves to forget and avoid history, with history we learn to understand education in the past, provide analytical skills, appreciate the services of previous people, know technological developments and knowledge of studying the mistakes of the education system in the past so as not to repeat mistakes again, history also has an important role in formation of national identity and personality and religion. However, in this day and age, many students of science are not interested in knowing the history of the development of education, focusing on the relevance of the formation process of Suarau education, Islamic boarding school, Islamic boarding school, how the meaning of Suarau, Islamic boarding school, madrasah, the history of emergence, and the education system, and the progress and decline of Surau, Islamic boarding school are the same in the modern era. modern technological sophistication
Abstract:This abstract discusses Islamic education during the Abbasid Daulah era. Education is a place where someone interacts or the teaching and learning process takes place with the learning environment. Islamic educational institutions…
stitutions are places where someone strives to increase students' faith, understanding, appreciation and practice of the Islamic religion so that they become individuals who believe and are devout in personal life, religion, society, nation and state. Islamic education began to develop from the time of the Prophet, the time of Khulafaur Rasyidin, the time of the Umayyah Daulah, the time of the Abbasid Daulah, until the present. Islamic education during the time of the Abbasid Daula experienced a golden age, at which time Islamic education was marked by amazing progress in the fields of science, culture and civilization, so that its existence can be proven through various sources of information recorded in history books and observers of history from various parts of the world that were once ruled by Islam. The aim of writing this article is to discuss the dynamics of Islamic education during the Abbasid period and its role in the development of Islamic education. The research method used in this research is library research. Sources of information for this research were obtained through various sources, print media, online media regarding the topics discussed. The results of the research in this article can be seen from the development of Islamic educational institutions that developed during the Abbasid period, including: mosques, Al-Hawanit al-Wariqien (bookstores), al-manazil al-ulama (houses of ulama), literary studios , madrasas, libraries and observatories, kuttabs, lower education in palaces, hospitals and badiahs.