bluuebunny/crossref_metadata_2025_split huggingface dataset:
Praktik-Praktik Good Governance Pada Koperasi Simpan Pinjam Sari Amertha Dana
Authors: Trikajayanti Ni Komang Ayu , Wirajaya I Gde Ary 
Published: January 2022

In terms of quantity, cooperatives are growing rapidly in Denpasar City, one of which is the Savings and Loans Cooperative (KSP) Sari Amertha Dana in Denpasar City. This cooperative is able to face and get through this pandemic crisis well so that it continues to run normally. Although the COVID-19 pandemic situation caused some members of KSP Sari Amertha Dana to have difficulty paying loans, KSP Sari Amertha Dana continued to run their operations and there were no layoffs. This study aims to identify and analyze the practices of Good Governance (GG) applied to KSP Sari Amertha Dana. This study uses qualitative methods with triangulation techniques and descriptive analysis. The results of the analysis state that the practices of transparency, accountability, responsibility, independence, and equality and fairness carried out by KSP Sari Amertha Dana have been implemented well.
Keywords : Transparency; Accountability; Responsibility; Independence; Fairness.
Kesempatan Investasi, Kebijakan Dividen dengan Firm Size sebagai Variabel Moderasi
Authors: Satya Dewi Dewa Ayu Mirah , Widanaputra Anak Agung Gde Putu 
Published: January 2022

Dividend policy is one of the most important financial functions of a company. This is because the dividend policy has an influence on the company's stakeholders, both managers and investors. This study aims to determine the effect of investment opportunities on dividend policy with Firm Size as a moderating variable. This research was conducted on manufacturing companies on the Indonesia Stock Exchange for the 2015-2019 period. The population is 142 companies. Based on the purposive sampling method and the expenditure of outlier data, a sample of 34 companies was obtained. The data analysis technique used is Moderated Regression Analysis. The results of the analysis show that Firm Size does not weaken the effect of investment opportunities on dividend policy. The results of this study support the residual theory of dividend and agency theory. In addition, the results of this study can also be considered by companies in determining dividend policy and assisting investors in making investment decisions.
Keywords : Investment Opportunity Set; Dividend Policy; Firm Size.
Analisis Faktor-Faktor yang Memengaruhi Nilai Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia
Authors: Devi Ni Luh Nyoman Sherina , Manuari Ida Ayu Ratih 
Published: January 2022

Firm value is closely related to shareholder wealth and become the main focus of investor decision making. This study analyzes the impact of capital design, productivity, profit strategy, firm development, also, firm size on the value of assembling organizations. Purposive testing technique was utilized and gotten 47 assembling organizations with 3 years perception, with all out 141 examples. Various direct relapse examination was utilized as a scientific procedure in this review. Results showed that profitability positively affected firm worth. While capital design, profit strategy, firm development, and firm size were found to have no impact on firm worth. Organizations are encouraged to improve and focus closer on factors, for example, productivity that can influence the worth of the organization.
Keywords : The Worth of the Organization; Capital Construction; Dividend Strategy; Profitability; Company Development; Company Size.
Kepatuhan Pengendalian Intern dan Perilaku Etis Karyawan di PT. Intan Bali Cargo International
Authors: Wibawa I Made Surya Widhi , Suryanawa I Ketut 
Published: January 2022

PT. Intan Bali Cargo International is a company engaged in the international freight forwarding industry. This study aims to analyze the influence of the control environment, risk assessment, control activities, information & communication and monitoring to ethical behavior of employees at PT. Intan Bali Cargo International. The sample was determined using the purposive sampling method so that 47 respondents were selected as the sample. Multiple linear regression analysis technique was used to analyze the data. The results of the analysis show that the control environment, risk assessment, control activities, information and communication, and monitoring have a positive and significant effect on the ethical behavior of employees at PT. Intan Bali Cargo International. These results indicate that the higher the level of internal control compliance, the ethical behavior of employees in the company will also increase.
Keywords : Control Environment; Risk Assessment; Control Activities; Information and Communication; Monitoring.
Pengaruh Pengetahuan, Pengalaman, Skeptisme Profesional, Dan Intuisi APIP Dalam Mendeteksi Kecurangan Pada Inspektorat Provinsi NTB
Authors: Idham Muhammad , Furkan Lalu M. , Pituringsih Endar 
Published: January 2022

This study aims to analyze the effect of knowledge, experience, professional skepticism, and intuition of government internal supervisors in detecting fraud at the NTB Provincial Inspectorate. Respondents from this study as many as 49 people who have functional positions. The technique of collecting data is by using a questionnaire and collecting data by using the census method. The data analysis technique used multiple regression analysis. The results showed that professional experience and skepticism had a significant positive effect on Fraud Detection. Meanwhile, knowledge and intuition have a negative effect on Fraud Detection. The theoretical implication of this research is to strengthen the results of previous studies that knowledge, experience, professional skepticism and intuition have an influence on fraud detection. The practical implications of this research are useful as a means to provide information or references for auditors, especially those who have an auditor's functional position. Meanwhile, the implications of research policies can be used as benchmarks and evaluations related to fraud detection in improving the quality and performance of auditors as government internal supervisors.
Keywords : Knowledge; Experience; Profesionalisme Skepticism; Intuition; Fraud Detection.
Analisis kandungan Timbal (Pb) dan Kadmium (Cd) dalam kangkung air (Ipomoea aquatica Forks.) di rawa yang dialiri limbah cair rumah tangga
Authors: Suraida Suraida , Syefrinando Boby , Alfian Alfian , Fistoni Fistoni 
Published: January 2022

Penelitian ini bertujuan untuk menentukan kandungan timbal (Pb) dan kadmium (Cd) dalam tanaman kangkung air (Ipomoea aquatica Forks.) di rawa yang dialiri limbah cair rumah tangga. Jenis penelitian ini adalah penelitian observasional dilakukan dengan pendekatan deskriptif melalui uji logam berat di laboratorium. Hasil penelitian menunjukkan bagian tanaman yang mengakumulasi logam berat paling tinggi adalah bagian akar, lalu batang, sedangkan daun tidak terkandung logam. Organ akar mengandung logam Pb sebesar 0,0146 mg/kg dan logam Cd sebesar 0,0018 mg/kg. Bagian organ batang mengandung timbal sebesar 0,0012 mg/kg dan logam Cd sebesar 0,000867 mg/kg. Semuanya masih di bawah batas maksimum cemaran logam untuk bahan pangan sehingga masih aman untuk dikonsumsi masyarakat.
Morphological and histological kidney structure in diabetic rats model treated with ethanol extracts of jengkol fruit peel (Archidendron pauciflorum)
Authors: Malini Desak Made , Fitriani Nurullia , Laila Adnin , Ratningsih Nining , Setiawati Tia 
Published: January 2022

In a long term, diabetes mellitus (DM) leads to nephropathy due to glomerular hyperfiltration. One of the plant used as a diabetic drug by the community in Karangwangi Village, Cianjur Regency, West Java is the fruit peel of jengkol. Therefore, this study aims to determine the effect of the ethanolic extract of Jengkol fruit peel (EEJFP) toward the morphological and histological structure on the kidney of the diabetic rat model. The method adopted was the Randomized Design (CRD) with 6 treatments namely NC (Carboxyl Methyl Cellulose (CMC) 0.5%), PC (CMC 0.5%), Pb (Glibenclamide 5 mg/kg BW), P1, P2, and P3 (EEJFP 385; 770; and 1,540 mg/kg BW) with 4 replications for 14 consecutive days. Furthermore, the induction of diabetes with streptozotocin dose of 60 mg/Kg BW was performed intravenously in experimental animals except for the NC group. The parameters observed include relative weight, morphological, and histological structure of kidney which include glomerular diameter, Bowman space distance, and percentage of proximal tubular cell necrosis. The non-parametric and parametric data were tested by Kruskal Wallis and ANOVA test as well as Duncan's follow-up test, respectively. The results showed that there was no significant difference in the morphological structure of the kidney between treatment groups. Furthermore, the relative weights of kidney in the PC, Pb, P1, and P3 groups were larger and significantly different compared to NC and P2 also, the histological structure showed that the glomerular diameter (65.43 ± 0.7 m), Bowman space distance (4.19 ± 1.7 µm), and the percentage of proximal tubular cell necrosis (24.6 ± 5.5%) at P2 were not significantly different from NC. Based on this results, it was concluded that EEJFP has no effect on the kidney’s morphological structure, however, it decreases its relative weight and repair the kidney’s histological damage of the diabetic rat model with the optimum dose of 770 mg/kg BW.
Kajian Etnomedisin dalam Pengobatan Tradisional pada Ulkus Kaki Diabetik (UKD) di Bali
Authors: Rahayu Luh Risma Putri , Sanjaya Dwi Arymbhi , Yuda Putu Era Sandhi Kusuma , Cahyaningsih Erna , Dewi Ni Luh Kade Arman Anita , Putra Made Agus Deny Mahendra 
Published: January 2022

Salah satu komplikasi yang terjadi akibat diabetes mellitus (DM) adalah Ulkus Kaki Diabetik (UKD). UKD merupakan kejadian luka yang timbul pada kaki penderita DM akibat komplikasi mikroangiopati dan makroangiopati yang dapat menimbulkan kecacatan bahkan kematian. Penelitian ini bertujuan untuk mengetahui dan mendokumentasikan pengobatan tradisional yang digunakan oleh pengobat tradisional di Bali untuk mengobati UKD. Penelitian ini dilaksanakan dengan menggunakan metode deskriptif kualitatif komparatif yang membandingkan data yang diperoleh dari hasil wawancara mendalam dan pengisian angket dengan pustaka. Pengumpulan data dilakukan dengan wawancara mendalam pada pengobat tradisional (BATTRA) di Bali sebagai informan yang memiliki kompetensi di bidang pengobatan tradisional UKD. Teknik sampling yang digunakan dalam penelitian ini yaitu teknik snowball sampling. Dari hasil penelitian diperoleh sebanyak 10 ramuan, yang terdiri dari 6 (enam) ramuan yang digunakan secara topikal dan 4 (empat) ramuan yang digunakan secara oral. Bahan utama yang digunakan dalam ramuan topikal adalah madu. Dari 10 ramuan terdapat 15 jenis tanaman obat yang digunakan untuk pengobatan UKD. Tanaman obat terbanyak yang digunakan adalah lidah buaya, bawang putih, merica, bawang merah dan cendana.
Aktivitas Antibakteri Ekstrak Metanol Kulit Buah Kawista (Limonia acidissima) terhadap Shigella dysenteriae dan Salmonella thypi
Authors: Veryanti Putu Rika , Kusuma I.M , Ramadhina E. 
Published: January 2022

Shigella dysenteriae dan Salmonella thypi merupakan bakteri yang dapat menyebabkan infeksi pada saluran cerna. Kawista banyak ditemui di Indonesia dan dapat dijadikan terapi alternatif untuk mengatasi diare. Kandungan kimia yang terdapat pada kulit buah kawista diduga dapat berkhasiat sebagai antibakteri. Tujuan dari penelitian ini adalah untuk mengetahui aktivitas antibakteri ekstrak kulit buah kawista (Limonia acidissima) terhadap bakteri Shigella dysenteriae dan Salmonella thypi. Tahap penelitian diawali dengan proses ekstrasi kulit buah kawista melalui metode maserasi, menggunakan pelarut metanol. Selanjutnya, dilakukan penapisan fitokimia dan pengujian aktivitas antibakteri. Pengujian aktivitas antibakteri ekstrak kulit buah kawista menggunakan metode difusi cakram dalam berbagai konsentrasi, yaitu 5%, 10%, 20%, 40% dan 80% ekstrak. Uji aktivitas antibakteri diukur berdasarkan diameter daerah hambat (DDH) yang dihasilkan. Hasil penelitian menunjukkan bahwa semakin tinggi konsentrasi ekstrak kulit buah kawista, semakin kuat aktivitas antibakteri yang diberikan. Pada konsentrasi 5%, rata-rata DDH untuk bakteri Shigella dysenteriae dan Salmonella thypi masing-masing adalah 7,91 mm dan 7,73 mm. Pada konsentrasi 80%, ekstrak memiliki aktivitas antibakteri yang paling kuat dengan rata-rata DDH 21,42 mm pada Shigella dysenteriae dan 20,93 mm pada Salmonella thypi. Ekstrak kulit buah kawista (Limonia acidissima) memiliki aktivitas antibakteri terhadap Shigella dysenteriae dan Salmonella thypi.
A Recommendation System for Hotel in Bali Using Case Based Reasoning Method
Authors: Prashanti Ni Putu Vidya Vira , Astawa I Gede Santi 
Published: January 2022

When on vacation, one of the essential amenities that is needed is the availability of accommodation such as hotel. One of the areas that become a holiday destination is the island of Bali. Being one of the tourist destinations of course many lodgings available in Bali with various facilities offered. The problem facing tourists is when choosing the right lodging that suits your wishes or needs, so in this study will be built a hotel recommendation system in Bali. The purpose of this research is to assist tourists in choosing the right hotel. The study used 78 hotel data sourced from the agoda.com. The methods used in this study are Case Based Reasoning and K-Nearest Neighbor. The result of this study is that the hotel recommendation system in Bali has managed to provide hotel selection recommendations based on 14 features namely district, hotel class, room type, and availability of facilities such as breakfast, swimming pool, television, gym, air conditioner, scenery, and nightly stay price. Based on black box testing, it is obtained the result that the hotel recommendation system in Bali can function properly.
Souvenir Sales Analysis using Apriori Algorithm (Case Study: Ubud-Market Transaction in March 2020)
Authors: Rizky Muhammad Firyanul , Arya Kadyanan I Gusti Agung Gede 
Published: January 2022

Ubud market is one of the largest art markets in Bali, there are many local Balinese souvenir traders and craftspeople, most of them are livelihoods depend on buying and selling local souvenirs, Since the Covid-19 pandemic entered in April 2020, Ubud market traders have started to close their business and hoping economic recoveryin future. The author tries to do a track record of souvenir sales transactions in Ubud market to find the last sales pattern before the traders closes their business to give a solution for marketing strategies in future. The sales transaction data will just become meaningless trash if it’s useless.. To get use information about the products that are most sold out at Ubud Market from the transaction database, the author uses the Apriori algorithm. This study was determined final rules on 2 itemset combination, If buying Manik-Manik Craft, Also buy Barong Shirt with the highest confidence 70% and Minimum Support 28%, and for 3 itemset a combination, If buying Celuk Silver, and Barong Shirt, Also buy Manik-Manik Craft with the highest confidence 37.5% and Minimum Support 12%, based on that there are 3 best-selling souvenir products, namely Barong Shirt, Manik-Manik Craft and Silver-Celuk in March 2020.
Keywords: Apriori Algorithm, Data Mining, Sales Analysis, Association Rule Mining, Ubud Market.
Optimization of Bali Tourism Recommendations Based on Personal Motivation of Tourists Using the Naive Bayes Algorithm
Authors: Putra I Gusti Ngurah Agung Widiaksa , Arya Kadyanan I Gusti Agung Gede 
Published: January 2022

In the recovery of the tourism sector in Bali due to COVID-19, a solution is needed with the aim of making tourists more interested in having a vacation in Bali. One of the solutions that can be offered is optimizing the tourist recommendations on the island of Bali, because so far tourists only get travel recommendations from travel agents and guides who usually recommend favorite tourist destinations, and sometimes guides recommend tourist attractions according to their personal wishes or goals. making tourists less optimal in enjoying tourist attractions in Bali. Optimization of Bali Tourism Recommendations Based on Tourist Personal Motivation Using the Naive Bayes Algorithm, is one solution to optimize tourism recommendations in Bali, where tourist recommendations are taken based on tourist characteristics using the Naïve Bayes Algorithm. In this study the authors used 180 training data, and the results of this study indicate that the personal motivation of tourists who are processed using the Naïve Bayes algorithm is feasible to use for tourism recommendations in Bali.
Keywords: Recommendation Optimization, Personal Motivation, Naïve Bayes.
Implementasi Business Intelligence Untuk Menentukan Tingkat Kasus Covid-19 di Indonesia
Authors: Putri Ni Made Elvina Aryadhika , Ryan Paramaditya I Putu , Made Swarbawa Ida Bagus , Aldi Arsa Gede Lucky , Made Mahendra Ida Bagus 
Published: January 2022

Covid 19 atau SARS-CoV-2 merupakan sebuah penyakit yang menyerang sistem pernapasan yang dikenal pertama kali terjadi di Wuhan China pada akhir Desember 2019, penyebaran dari Covid-19 yang masif mengimflansi seluruh dunia sehingga WHO memutuskan bahwa Covid-19 merupakan pandemi global melalui keputusan tersebut pandemi Covid-19 hingga kini terus menjadi ancaman bagi banyak negara termasuk Indonesia.
Teknologi informasi adalah teknologi yang membantu manusia membuat, memodifikasi, menyimpan, mengomunikasikan, dan/atau menyebarkan informasi. Business Intelligence (BI) adalah kumpulan aktivitas dan strategi yang digunakan untuk memahami situasi bisnis dengan melakukan berbagai jenis analisis pada data yang dimiliki oleh organisasi dan data eksternal dari pihak ketiga untuk membantu membuat keputusan bisnis yang strategis, taktis, dan operasional serta mengambil tindakan untuk meningkatkan bisnis. Penggunaan Business Intelligence (BI) sebagai sebuah sarana dalam melakukan peningkatan sistem pencegahan Covid-19 melalui sistem BI diharapkan penyebaran Covid-19 dapat diredam, diprediksi, dan dapat ditekan sehingga jumlah penderita Covid-19 dapat berkurang atau bahkan mencapai angka 0.
Pengamanan Lontar Digital Dengan Tanda Tangan Digital Menggunakan Algoritma RSA
Authors: Harta I Gede Bendesa Aria , Gede Suhartana I Ketut , Anom Cahyadi I Gusti Ngurah , Pramartha Cokorda , Ari Mogi I Komang , Agung Raharja Made 
Published: January 2022

Lontar is a relic of cultural heritage whose basic source of manufacture is from rontal or tal leaves containing evidence of all records of aspects of ancient historical life which include historical values, religion, philosophy, medicine, literature and other sciences so that their sustainability needs to be maintained.
Security of digital lontar will make it easier to preserve a lontar work so that it is not changed or falsified by irresponsible parties, where digital lontar in PDF format will be given a digital signature to maintain the authenticity of the document. Documents that are signed will be difficult for other parties to change, if the contents of a digital ejection are changed it will cause the digital signature to change.
Based on the research conducted, from the results of testing the security of digital ejection with digital signatures using the RSA algorithm, the test results from RMSE (Root Mean Square Error) for description results with an average of 69.7794143. The larger or random the description results, the more complex the description results will be.
SISTEM REKOMENDASI TEMPAT WISATA MENGGUNAKAN ALGORITMA CHEAPEST INSERTION HEURISTIC DAN NAÏVE BAYES
Authors: Gede Dwidasmara Ida Bagus , Putra I Gusti Ngurah Agung Widiaksa , Widiartha I Made , Santiyasa I Wayan , Made Mahendra Ida Bagus , Ngurah Eka Karyawati Anak Agung Istri 
Published: January 2022

Bali is one of the best tourism areas in Indonesia, as evidenced in 2016 Bali received a number of awards on the TripAdvisor Travelers Choice Award in global and Asian scope. However, the Corona virus outbreak from 2019, caused the tourism sector in Bali to decline, thus a solution is needed to restore the tourism sector in Bali, where one solution is to increase cultural tourism to the maximum, as the main attraction of tourist destinations in Bali. Bali. So the author proposes a tourism recommendation system, which aims to recommend tourist attractions that are suitable for tourists, which in this recommendation system is also recommended cultural tourism destinations that are directly recommended by the community, and there is also a mapping of tourist attractions as part of a tourist recommendation system, mapping of tourist attractions public and cultural attractions. In this tourism recommendation system, using the Naïve Bayes Algorithm to recommend general tourist destinations based on the personal motivation of tourists, which is based on the attributes of age, gender, natural interest, artificial interest, cultural interest of tourists, using 200 training data consisting of 14 classes of tourist attractions. . In addition, this tourist recommendation system is equipped with recommendations for routing tourist attractions using the Cheapest Insertion Heuristic Algorithm, to arrange a list of tourist attractions.
Keywords: Recommendation System, Naïve Bayes Algorithm, Cheapest Insertion Heuristic Algorithm, Personal Motivation, Place Mapping.
PENGEMBANGAN SISTEM REKOMENDASI PENEMPATAN PRODUK SOVENIR LOKAL BALI BERDASARKAN ALGORITMA APRIORI STUDI KASUS : PASAR SENI UBUD GIANYAR, BALI
Authors: Rizky Muhammad Firyanul , Mahendra Ida Bagus Made , Kadyanan I Gusti Agung Gede Arya , Putri Luh Arida Ayu Rahning , Santiyasa I Wayan , Karyawati Anak Agung Istri Ngurah Eka 
Published: January 2022

COVID-19 membawa dampak buruk bagi sektor pendapatan masyarakat Ubud khususnya para penjual souvenir karena menurunnya kedatangan wisatawan. Pemulihan perekonomian masyarakat Ubud khususnya pemasaran souvenir harus memperbaiki beberapa aspek agar mampu menentukan strategi penjualan optimal, sehingga solusi pada penelitian ini adalah pengembangan sistem aplikasi berbasis mobile menyesuaikan kebutuhan penjual souvenir untuk mengembangkan strategi pemasaran pasca COVID-19, aplikasi ini menggunakan implementasi Algoritma Apriori sebagai keluaran rekomendasi berupa pola asosiasi dari transaksi sehingga mendapatkan suatu rules/aturan. Aplikasi dikembangkan secara Hybrid Multiplatform, front-end menggunakan Kotlin Multiplatform Mobile dan Webview, sedangkan back-end menggunakan PHP dan Database MySql. Berdasarkan Evaluasi Aturan Asosiasi dengan tools WEKA menggunakan 25 transaksi dan set minimum support sebesar 0,1 atau 10%, aturan asosiasi sistem sama dengan aturan/rules yang dihasilkan aplikasi WEKA dengan total 42 jumlah aturan asosiasi dengan parameter tertinggi confidence 0,75 dan lift ratio 2,34. Dari hasil pengujian black box, semua fungsional yang ada aplikasi rekomendasi ini telah berhasil berjalan sebagaimana seharusnya dengan persentase keberhasilan 98% di 8 (delapan) platform Android 4 sampai android 11, dan hasil analisis kepuasan pengguna dengan skala likert sebanyak 30 responden rata-rata 86,4% pengguna sangat puas dengan keseluruhan proses sistem.
Kata Kunci: Aplikasi Mobile, Data Mining, Algoritma Apriori, Souvenir Pasar Seni Ubud, Android, IOS, Kotlin Multiplatform Mobile, WebView, PHP, MySql.