scholarly journals PENGELOMPOKAN PRODUKSI PERKEBUNAN MENURUT KABUPATEN/KOTA JAWA TENGAH TAHUN 2020 MENGGUNAKAN HIERARCHICAL CLUSTERING

2021 ◽  
Vol 4 (2) ◽  
pp. 59-66
Author(s):  
Nur Mutmainnah Djafar ◽  
Latifah Nur Wijayanti ◽  
Ajeng Retno Elprilita ◽  
Edy Widodo
Keyword(s):  
Hierarchical Clustering ◽  
Clustering Analysis ◽  
Arable Land ◽  
Rubber Tree ◽  
Analysis Method ◽  
The Third ◽  
Central Java ◽  
City Group ◽  
Cluster 2 ◽  
Central Java Province

Indonesia is a country with arable land and empowered to do things; one of them is plantation. One of the provinces in Indonesia having a wealth of natural resources is Central Java. According to Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Provinsi Jawa Tengah, Central Java Province has great potential of the land. Based on BPS data, Central Java is in the seventh position in the results plantation production in 2020. Central Java Province also has the highest exported agriculture that won Abdi Tani Award in 2021. Researchers conducted using hierarchical clustering analysis method to know district/city group and productivity based on the results of plantation production. By the grouping results based on a coconut plantation, rubber tree, coffee, cocoa, sugar cane, tobacco, and pepper production, there are three clusters with profiling results are the first cluster has 30 districts/cities with high category plantation production, the second cluster has one district with middle category plantation production, and the third cluster has four districts/cities with low category plantation production. Abstrak Indonesia adalah negara yang memiliki tanah subur sehingga dapat diberdayakan untuk berbagai hal, salah satunya adalah perkebunan. Salah satu provinsi di Indonesia yang memiliki kekayaan sumber daya alam berupa tanah subur adalah Provinsi Jawa Tengah. Menurut Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Provinsi Jawa Tengah, Jawa Tengah memiliki potensi usaha dari hasil tanah yang sangat besar. Berdasarkan data BPS, Jawa Tengah berada di posisi ke-7 dalam hasil produksi perkebunan tahun 2020. Jawa Tengah juga merupakan provinsi dengan nilai ekspor pertanian tertinggi yang meraih penghargaan Abdi Bakti Tani 2021. Peneliti melakukan analisis dengan menggunakan metode hierarchical clustering, dengan tujuan untuk mengetahui kelompok-kelompok daerah serta produktivitasnya berdasarkan hasil produksi perkebunan. Dari hasil clustering dan profilisasi berdasarkan hasil produksi kelapa, karet, kopi, kakao, tebu, tembakau, dan lada diperoleh cluster 1 memiliki 30 kabupaten/kota dengan kategori hasil produksi perkebunan tinggi, cluster 2 memiliki 1 kabupaten dengan kategori hasil produksi perkebunan sedang, dan cluster 3 memiliki 4 kabupaten/kota dengan kategori hasil produksi perkebunan rendah.

scholarly journals Location Characteristics of Accommodation Facilities Selected by Tourists in Surakarta City, Central Java Province

2020 ◽  
Vol 202 ◽  
pp. 03009
Author(s):  
Tristano Edwan Cancer Ananta ◽  
M. H. Dewi Susilowati ◽  
Ratri Candra Restuti
Keyword(s):  
Statistical Analysis ◽  
Analysis Method ◽  
Comparison Analysis ◽  
Chi Square ◽  
Tourist Destinations ◽  
Central Java ◽  
Place Of Origin ◽  
The Relationship ◽  
The City ◽  
Central Java Province

The city of Surakarta is one of the cultural and historical tourist destinations that continues to develop in Indonesia. The trend of an increase in the number of tourists in 2016-2018 has led to the emergence of many accommodation facilities in the city of Surakarta. Differences in location characteristics in each accommodation facility will affect tourists in choosing accommodation facilities. This study aims to determine the characteristics of the location of accommodation facilities chosen by domestic and foreign tourists in the city of Surakarta, as well as the relationship between the characteristics of the location of accommodation facilities with the characteristics of tourists based on the age and place of origin of tourists. This study uses a spatial comparison analysis method and uses a chi-square statistical analysis to see the relationship between variables, such as the characteristics of the location of accommodation facilities and characteristics of tourists. The results of this study indicate that the location characteristics of the accommodation facilities chosen by foreign and domestic tourists are different. Foreign tourists tend to choose star hotels, while for domestic tourists the choice varies, namely star hotels and non-star hotels. In addition, there is a relationship between the characteristics of domestic tourists with the characteristics of the location of selected accommodation facilities, while for the characteristics of foreign tourists there is no relationship with the characteristics of the location of selected accommodation facilities.

scholarly journals EVALUASI KESEIMBANGAN AIR DI PROVINSI JAWA TENGAH

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Sutopo Purwo Nugroho
Keyword(s):  
Water Supply ◽  
Tap Water ◽  
Water Rights ◽  
Water Shortage ◽  
The Third ◽  
Central Java ◽  
Agriculture Industry ◽  
Exclusive Right ◽  
Irrigation Agriculture ◽  
Central Java Province

Water supply for the domestics use of Central Java Province has been experiencing problems and challenging. With population of 35 million or 16% of Indonesia, it place the province as the third in national population. It have consequently, water need in the province is as such for use of domestics, irrigation/agriculture, industry, etc. Several counties within the province has experiencing water shortage. Particularly during dry season, defisits is inclining that results water use conflicts. Furthermore, conflicts occur not only in counties with water shortage but also in county with sufficient water supply. Conflict is generally triggered by weak management and allocation. This is a result of unlimited territorial sovereighnity of water resources and uncertainty of water rights. Unlimited territorial sovereighnity of water resource contain exclusive right to utilize tap water within the territorial right, in way that the territory hold the sole right to exploit the resource without compensation to neighbouring territory. Hence, water balance should be investigated better and comprehensively. Kata kunci: keseimbangan air, konflik, sumber daya air, Jawa Tengah.

scholarly journals PENGARUH USIA DAN JENIS KELAMIN PADA KEPATUHAN PASIEN DIABETES MELITUS MENGGUNAKAN OBAT ANTIDIABETES DI PERUM KETAPANG SOKARAJA KULON

2019 ◽  
Vol 10 (2) ◽  
pp. 76-81
Author(s):  
Ikhwan Yuda Kusuma
Keyword(s):  
Drug Information ◽  
Third Place ◽  
Chi Square ◽  
The Third ◽  
Central Java ◽  
The World ◽  
Chi Square Test ◽  
Survey Results ◽  
Central Java Province ◽  
Diabetes Melitus

ABSTRACT The WHO survey results show that the number of DM patients in Indonesia is ranked the 4th largest in the world. DM causes death by 5% every year. Deaths from DM are expected to increase by 50% in the next ten years. The results of the 2007 Central Java RISKESDAS showed that the prevalence of DM in Central Java province was 0.8% and overall was 1.3%. The highest prevalence is found in Cilacap Regency (3.9%), second place is Tegal City Regency (3.1%), for the third place is Surakarta (2.8%), fourth place is Pemalang (2.1%), and fifth place is occupied by Banyumas (1.9%) (Ministry of Health, 2009). This study used an experimental design by treating the group of cases. The research instruments in this study were interview guides about the number of remaining antidiabetic drugs to check the compliance and MMAS questionnaires that had been validated and translated into Indonesian versions (Setyaningsih, 2013). The results of data analysis using the Chi-Square test were obtained p = 0.220 (p> 0.05) based on the MMAS questionnaire, this indicates that this indicates that this study of age has a significant influence on the adherence of antidiabetic use in DM patients in Perum Ketapang Sokaraja Kulon.   Keywords: Age, Diabetes Mellitus, Drug Information          

scholarly journals Evaluation of river water quality by using hierarchical clustering analysis

2021 ◽  
Vol 896 (1) ◽  
pp. 012072
Author(s):  
B Warsito ◽  
S Sumiyati ◽  
H Yasin ◽  
H Faridah
Keyword(s):  
Water Quality ◽  
Electrical Conductivity ◽  
River Water ◽  
Hierarchical Clustering ◽  
Clustering Analysis ◽  
Quality Parameters ◽  
Critical Study ◽  
Central Java ◽  
The Difference ◽  
The Ideal

Abstract Assessment of water pollution is a critical study because it can affect humans directly. Likewise, river water is widely used for various daily needs. It is important to group rivers according to their classes so that further analysis and action can be carried out. This article discusses the clustering of rivers in several areas in the southeast part of Central Java Province consisting of 14 sampling stations based on several water quality parameters. The pollutant parameters include TSS, electrical conductivity, pH, BOD, COD, and DO. The method used is Hierarchical clustering in which the object grouping begins with grouping two objects with the closest distance being combined into one cluster, and then continues until one cluster is formed consisting of all objects. The results show that five clusters are the ideal choice. Except for electrical conductivity, the parameters observed are dominantly the difference between clusters. Through the formation of river clusters based on their water quality, the characteristics of each cluster and cluster members with high similarity can be identified.

scholarly journals Clustering of District or City in Central Java Based COVID-19 Case Using K-Means Clustering

2020 ◽  
Vol 17 (1) ◽  
pp. 1-13
Author(s):  
Ali Mahmudan
Keyword(s):  
Kidney Failure ◽  
Central Java ◽  
The World ◽  
High Death ◽  
New Type ◽  
The Government ◽  
Death Cases ◽  
Cluster 2 ◽  
Central Java Province

Coronavirus Disease 2019 (COVID-19) is a new type of disease that has never been identified in humans. Severe cases of COVID-19 can cause acute respiratory syndrome, kidney failure, and even death. COVID-19 cases have spread all over the world, including in Indonesia. One province with a high number of COVID-19 cases is Central Java Province. Therefore, it is necessary to cluster districts or cities in Central Java based on the COVID-19 case to prevent the spread of COVID-19. Clustering the cases of COVID-19 is done using k-means clustering which is a method of clustering a number of data by means of partitions. The results show that cluster 2 and cluster 3 are areas that the government should pay more attention to because they are areas with a high number of active cases and the high death cases of COVID-19 in Central Java.  

scholarly journals Auditor’s Professional Skepticism: An Empirical Study At Public Accounting Firm in Central Java Province

2021 ◽  
Vol 25 (1) ◽  
pp. 85
Author(s):  
Ardiani Ika Sulistyawati, Aprih Santoso
Keyword(s):  
Sampling Method ◽  
Sampling Technique ◽  
Legal Certainty ◽  
Analysis Method ◽  
Public Accounting ◽  
Professional Skepticism ◽  
Accounting Firm ◽  
Central Java ◽  
Pls Analysis ◽  
Central Java Province

This study examines and analyzes the effect of experience, expertise, audit situation, ethics, and legal certainty on auditors' professional skepticism. The sample of this research is auditors who work at a public accounting firm in Central Java Province. Samples were taken using the non-probability sampling method, using the purposive sampling technique with 104 auditors as respondents. The analysis method used is PLS analysis. The research results show that experience and ethics affect the professional skepticism of auditors, while expertise, audit situation, and legal certainty do not affect the professional skepticism of auditors. The results of this study are expected to maintain the professional skepticism of auditors in evaluating critical audit evidence.

scholarly journals PENGARUH KONSELING FARMASIS DALAM MENINGKATKAN KEPATUHAN PASIEN DIABETES MELITUS MENGGUNAKAN OBAT ANTIDIABETES DI PERUM KETAPANG SOKARAJA KULON

2019 ◽  
Vol 10 (2) ◽  
pp. 68-75
Author(s):  
Ikhwan Yuda Kusuma
Keyword(s):  
Drug Information ◽  
Third Place ◽  
Chi Square ◽  
The Third ◽  
Central Java ◽  
The World ◽  
Chi Square Test ◽  
Survey Results ◽  
Central Java Province ◽  
Diabetes Melitus

ABSTRACT The WHO survey results show that the number of DM patients in Indonesia is ranked the 4th largest in the world. DM causes death by 5% every year. Deaths from DM are expected to increase by 50% in the next ten years. The results of the 2007 Central Java RISKESDAS showed that the prevalence of DM in Central Java province was 0.8% and overall was 1.3%. The highest prevalence is found in Cilacap Regency (3.9%), second place is Tegal City Regency (3.1%), for the third place is Surakarta (2.8%), fourth place is Pemalang (2.1%), and fifth place is occupied by Banyumas (1.9%) (Ministry of Health, 2009). This study used an experimental design by treating the group of cases. The research instruments in this study were interview guides about the number of remaining antidiabetic drugs to check the compliance and MMAS questionnaires that had been validated and translated into Indonesian versions (Setyaningsih, 2013). The results of the data analysis using the Chi-Square test were obtained p = 0.220 (p> 0.05) based on the MMAS questionnaire, this indicates that the administration of drug information had no effect on the level of adherence to antidiabetic use in DM patients at Ketapang Sokaraja Kulon. Keywords: Blood Sugar, Diabetes Mellitus, Drug Information  

scholarly journals Analysis of Zakat Performance of Central Java Province

2018 ◽  
Vol 3 (2) ◽  
pp. 17-28
Author(s):  
Isro’iyatul Mubarokah ◽  
Irfan Syauqi Beik ◽  
Tony Irawan
Keyword(s):  
Sampling Technique ◽  
Analytical Tool ◽  
Community Level ◽  
Muslim Population ◽  
The Third ◽  
Central Java ◽  
Convenience Sampling ◽  
The Government ◽  
Central Java Province

The Indonesian province with the third largest Muslim population is Central Java. This suggests a great potential for zakat collection. However, the amount accumulated is far from significant. This study aims to determine zakat performance in Central Java Province at macro and micro levels. Data collectioninvolved distributing questionnaires during interviews. This study employeda convenience sampling technique. The analytical tool used in this research is National Zakat Index (NZI).National Zakat Index is an indicator that illustrates the extent to which charity has been instrumental to the mustahikwelfare. It also indicatesthe initial stages of zakat development in terms of internally and at a community level, as well as highlight the support provided by the government. Findingsindicate that zakat performance of Central Java Province from a macro dimension is poor, while from a micro prospective it is decent. Keywords:  macro dimension, micro dimension, National Zakat Index (NZI), zakat performance

scholarly journals Fuzzy Geographically Weighted Clustering dengan Gravitational Search Algorithm pada Kasus Penyandang Masalah Kesejahteraan Sosial di Provinsi Jawa Tengah

2021 ◽  
Vol 2 (1) ◽  
pp. 27-36
Author(s):  
Syayidati Mashfufah ◽  
Indah Manfaati Nur ◽  
Moh Yamin Darsyah
Keyword(s):  
Social Welfare ◽  
Objective Function ◽  
Clustering Analysis ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Central Java ◽  
Weighted Clustering ◽  
Gravitational Search ◽  
Central Java Province

One of the indicators of the success of social welfare development in Central Java was decreasing the population of people with social welfare problems (PMKS). One exertion that can be done was grouping or clustering the areas in Central Java-based on 26 indicators of PMKS. Fuzzy Geographically Weighted Clustering (FGWC) algorithm is a clustering analysis that observing the effect of the area. However, FGWC has a limitation in the initialization centroid phase that makes it trapped to local optimal. The limitation can be addressed with the Gravitational Search Algorithm (GSA) approach. The purpose of GSA was to optimize the value objective function. This research applied FGWC-GSA on PMKS in Central Java Province contained 26 indicators. Some validity indexes were applied to determine the best cluster. This research clustering the areas of Central Java into two clusters. The first cluster contained 24 districts and cities, and the second cluster contained 11 districts

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