scholarly journals Karakteristik Mutu Minyak Pala Berdasarkan Peralatan Distilasi Drum Bekas dan Distilasi Stainless (Studi Kasus di Kabupaten Aceh Selatan)

2017 ◽  
Vol 10 (2) ◽  
pp. 35-44
Author(s):  
Mustafril Mustafril
Keyword(s):  
Specific Gravity ◽  
Coming Out ◽  
Optical Rotation ◽  
Oil Quality ◽  
Oil Production ◽  
Refraction Index ◽  
North Sulawesi ◽  
West Sumatra ◽  
The Government

Quality Characteristics of Nutmeg Oil Between Used Barrels Distillation and Stainless Distillation  (A Case Study in Aceh Selatan Regency)ABSTRACT. The Province of Aceh is the center of nutmeg oil production in Indonesia, which is about 70%-75% of the nutmeg oil production in Indonesia, is produced in the districts of South Aceh and Southwest Aceh. The rest is coming from the provinces of West Sumatra and West Java. Meanwhile, the nutmeg harvested in Maluku, North Maluku, North Sulawesi, and West Papua is not processed for its essential oil, but merely exported as spices. It is estimated that in 2017 the production of nutmeg oil will reach about 350-400 tones. The government has put a standard for nutmeg oil based on SNI 06-2388-2006. Therefore, taking this standard as consideration, a study on the characteristics of nutmeg oil quality in South Aceh was carried with 14 distillers as the sample. The tested nutmeg oil was taken from the distillers, both stainless distillation drum and used drum. The characteristics of nutmeg oil coming out of the used drum is from colorless to pale yellowish one, has nutmeg scent, specific gravity: 0,884 - 0,960, rafractive index: 1,481-1,500, optical rotation: (+)6,20o - (+)19,30o and rest of evaporation  is between 5,70% - 28,15%. On the other hand, the characteristic of nutmeg oil taking from stainless distiller is colorless, has nutmeg scent, specific gravity: 0,861 - 0,892 refractive index:  1,472 - 1,484, optical rotation: (+)10,83o- (+)18,00o, and rest of evaporation is 0,50% - 4,80%. Most of nutmeg oil processed by used drum did not meet the SNI standard, whereas few of nutmeg oil distilled in stainless and semi stainless drum has met the SNI standard of nutmeg oil.Correlation of specific gravity and refraction index of nutmeg oil for stainless distillation is refraction index (Y) = 0,3151X + 1,2014, where R2 = 0,8403; whereas for used barrels distillation is refraction index (Y) = 0,28X + 1,2334, where R2 = 0,9637.Correlation of Optical Rotation for stainless distillation is Optical Rotation (Y) = -223,02X + 209,81, where R2 = 0,9645;conversely, forused barrels distillation Optical Rotation (Y) = -155,01X + 156,2, where R2 = 0,9348.Correlation of refraction index with Optical Rotation for nutmeg oil distilled with stainless distillation is Optical Rotation (Y) = -610,36X + 915,96, where R2 = 0,8536; contrarily for distillation with used barrels Optical Rotation (Y) = -545,71X + 827,26, where R2 = 0,9427.

scholarly journals Public Sector Asset Management in the Government of Indonesia: A Case Study in Minahasa Regency

2021 ◽  
Vol 13 (2) ◽  
pp. 195-205
Author(s):  
Victorina Z. Tirayoh ◽  
Lady D. Latjandu ◽  
Harijanto Sabijono ◽  
Christoffel M. O. Mintardjo
Keyword(s):  
Public Sector ◽  
Asset Management ◽  
Government Regulation ◽  
Regional Government ◽  
The Public ◽  
Management Agency ◽  
North Sulawesi ◽  
Research Findings ◽  
The Government

Asset management in the public sector is important to provide quality public services. One of the important public assets is the regional property that manages by the regional government. Various problems often occurred related to asset management in Indonesia's public sector, especially the management issue that follows regulations. The research aims to examine the management of public sector assets in The Government of Indonesia, especially regional property, which refers to Indonesia's prevailing laws and regulations, namely Government Regulation number 27 of 2014. The research was conducted in Indonesia at the Minahasa District government of North Sulawesi Province. The research method used descriptive qualitative, focusing on investigating the use and utilization of regional property and locus at the Regional Financial and Asset Management Agency (BPKAD) in Minahasa Regency. The data collection method in this research is an interview with several key point informants. The informants consist of top-level management, middle management, and staff of BPKAD, with a total of nine informants. The research findings indicate that Regional Property Management by the Minahasa Regional Financial and Asset Management Agency has been carried out under applicable regulations, namely Government Regulation Number 27 of 2014. Several suggestions were given to interested parties. The limitations of this research were limited to specific objects, only general discussion, and only one case study.

scholarly journals PENENTUAN MODEL REGRESI TERBAIK DENGAN MENGGUNAKAN METODE STEPWISE (STUDI KASUS : IMPOR BERAS DI SULAWESI UTARA)

2017 ◽  
Vol 17 (2) ◽  
pp. 80
Author(s):  
Selfina Clara Wohon ◽  
Djoni Hatidja ◽  
Nelson Nainggolan
Keyword(s):  
Regression Model ◽  
Stepwise Regression ◽  
Agricultural Land ◽  
Secondary Data ◽  
Coefficient Of Determination ◽  
North Sulawesi ◽  
The People ◽  
Stepwise Method ◽  
The Government

PENENTUAN MODEL REGRESI TERBAIK DENGAN MENGGUNAKAN METODE STEPWISE (STUDI KASUS : IMPOR BERAS DI SULAWESI UTARA)ABSTRAKIndonesia memiliki lahan pertanian yang cukup besar dan tentulah mampu memenuhi kebutuhan beras masyarakatnya, tetapi pada kenyataan produksi beras di Indonesia belum dapat memenuhi permintaan masyarakat sehingga pemerintah mengambil kebijakkan untuk mengadakan impor beras agar kebutuhan terpenuhi. Penelitian ini bertujuan untuk mengetahui variabel-variabel yang mempengaruhi impor beras di Sulawesi Utara dan menentukan model regresi terbaiknnya. Penelitian dilakukan di Kota Manado, Sulawesi Utara dan berlangsung selama 5 bulan sejak November 2016 sampai April 2017. Data yang digunakan adalah data sekunder tahunan Badan Pusat Statistik yang diolah dari buku Sulawesi Utara dalam Angka 2008-2016. Data yang diperoleh dianalisi dengan Metode regresi Stepwise. Variabel-variabel yang mempengaruhi impor beras di Sulawesi Utara yaitu penerimaan beras dari dalam negeri (X4) dan devisa impor unpaid pada bea dan cukai Bitung (X8) yang membentuk model regresi terbaik  Yduga = 26322,228- 0,626X4  + 0.001X8, dengan nilai R-sqr = 93,7% dan R-adj = 91,8%. Variabel-variabel tersebut cukup baik untuk menduga besar jumlah impor beras di Sulawesi Utara.Kata Kunci:  Metode Stepwise, koefisien determinasi, beras, Sulawesi Utara. DETERMINING THE BEST REGRESSION MODEL USING STEPWISE METHOD (CASE STUDY: RICE IMPORTS IN NORTH SULAWESI)ABSTRACTIndonesia has a large agricultural land and certainly able to supply for people, but in reality the rice production in Indonesia has not been able to complete the demands of the people, so the government took the policy to import rice. The purpose of this research is to determine the variables that affecting rice imports in North Sulawesi and determine the best regression model. The research was held in Manado City, North Sulawesi and lasted for five months from November 2016 to April 2017. The data used is secondary data of Statistics Indonesia and processed from book North Sulawesi in Figures 2008-2016. The data were analyzed by Stepwise Regression Method. The variables that influence rice import in North Sulawesi are the receipt of domestic rice (X4) and unpaid import devisa at excise Bitung customs and excise office (X8) which make the best regression model Ypredict = 26322,228- 0,626X4  + 0.001X8,  with R-sqr = 93,7% and R-adj = 91,8%. These variables are good to estimate the number of rice imports in North Sulawesi.Keywords:  Stepwise method, coefficient of determination, rice, North Sulawesi

scholarly journals KAMPANYE GIZI SEIMBANG MELALUI KESENIAN RABAB

2018 ◽  
Vol 13 (2) ◽  
pp. 35-41
Author(s):  
John Amos
Keyword(s):  
Community Involvement ◽  
Case Study Research ◽  
Research Strategy ◽  
Descriptive Case Study ◽  
Children Under Five ◽  
Under Five ◽  
West Sumatra ◽  
Nutrition Messages ◽  
The Government

ABSTRACT The prevalence of underweight children under five in Indonesia is still high, compared to the target of Indonesia's MDGs of 18.5% West Sumatra is still below the target. Health problems can not only be solved by the government, but community involvement is required, therefore the potential needs to be mobilized. Rabab is a traditional Minangkabau traditional string instrument made from coconut shell. With this rabab can be channeled one's musical talents. Usually in this rabab narrated a variety of nagari stories or known by the term Kaba.merupakan a traditional theater that is populist in Minangkabau area, West Sumatra. Research with qualitative approach with research strategy "Case Study Research (CSR)" with descriptive case study. The study was planned to be conducted on 10 (ten) rabab players active in the Balai Selasa, Pesisir Selatan District. Most informants stated that the balanced nutrition message can be compiled into story through Rabab, almost all informants stated that balanced nutrition messages can be prepared according to the language of the community local, most informants stated that the message of balanced nutrition can be compiled according to the dialeg minang community, most informants stated that the message of balanced nutrition can be compiled by summarizing information in simple form, Rabab as a regional art that has the potential Minangkabau have the potential to campaign balanced nutrition in achieve optimal health for children under five and family. It is recommended to review the balanced nutrition messages for the various ages of the community through Rabab art, to examine the influence of Rabab arts interventions on the knowledge, attitude and actions of people of all ages on balanced nutrition, to formulate strategies for the development of Rabab art through the preparation of scenarios for changes in community behavior about balanced nutrition.   Keywords: nutrition, rabab

scholarly journals ANALISA METODE DATA MINING PADA PRODUKSI PERIKANAN LAUT YANG DIJUAL DI TEMPAT PERIKANAN IKAN (TPI)

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Hanifah Urbach Sari ◽  
Agus Perdana Windarto ◽  
Dedy Hartama
Keyword(s):  
West Kalimantan ◽  
Central Java ◽  
North Sulawesi ◽  
South Sulawesi ◽  
Catchment Areas ◽  
West Sumatra ◽  
The Government ◽  
High Level ◽  
Water Catchment ◽  
North Sumatra

The purpose of this research is that the results of the utilization of fish resources in producing marine fisheries by fishermen can be good using the K-Means clustring method. Data was obtained from the Central Statistics Agency (BPS) and assisted using RapidMiner software. Data used from 2013-2017 consisted of 21 Provinces. With these data can be obtained data with high-level clusters (C1), namely Central Java with production 587002.8 and low-level clusters (C2) provinces of Aceh, North Sumatra, West Sumatra, Bengkulu, Lampung, Bangka Belitung Islands, DKI Jakarta, West Java , DI Yogyakarta, East Java, Banten, Bali, West Nusa Tenggara, West Kalimantan, Central Kalimantan, North Sulawesi, Central Sulawesi, South Sulawesi, Southeast Sulawesi and Gorontalo with a production of 20302.28. This can be input to the government for provinces that have low water catchment areas to be of more concern based on the cluster that has been done.Keywords: K-Means, Sea Fish Production, Clustering, Territory

scholarly journals Impact of Zakat Distribution as a Reduction In Poverty Case Study in the Province of West Sumatra

2019 ◽  
Vol 4 (2) ◽  
pp. 1-12
Author(s):  
Dian Fitriarni Sari ◽  
Irfan Syauqi Beik ◽  
Wiwiek Rindayanti
Keyword(s):  
Economic Growth ◽  
Positive Impact ◽  
Primary Data ◽  
Analysis Tool ◽  
Muslim Population ◽  
The Poor ◽  
West Sumatra ◽  
The Government ◽  
Poverty Indicators

West Sumatra Province has a high Muslim population and also has a high amount of zakat funds even though it is not yet potential. Regulation of zakat which is different from other provinces in West Sumatra is the existence of compulsory zakat regulations which are directly deducted from salaries for the State Civil Apparatus (ASN). This has a positive impact on the collection of zakat funds in West Sumatra. This should be accompanied by the application of good zakat to reduce poverty. This study used questionnaire to obtain primary data in the province of West Sumatera. This study had 200 respondents, uses poverty indicators and the average time taken to exit poverty as an analysis tool. The results of this study indicate that zakat can be an instrument to reduce poverty, by empowering zakat effectively and increasing economic growth. This research also proves more concisely when the poor can exit of poverty if compared with the absence of zakat application. As for the implications given in this study, the government is expected to be able to support the existence of zakat as an instrument to reduce poverty and achieve the fulfillment of the potential of zakat which is maximized in the collection.

scholarly journals Pengelompokkan Tingkat Kriminalitas di Indonesia Menggunakan Algoritma Average Linkage

2021 ◽  
pp. 96-104
Author(s):  
Azman Azman ◽  
Anisa Anisa
Keyword(s):  
Criminal Cases ◽  
West Kalimantan ◽  
Central Java ◽  
Linkage Algorithm ◽  
East Kalimantan ◽  
North Sulawesi ◽  
Average Linkage ◽  
Cluster Area ◽  
West Sumatra ◽  
The Government

Crime needs to be analyzed and grouped so that the act does not cause harm either ecologically or psychologically. The statistical method that can be used to classify crime is the Average Linkage Algorithm. The study aims to group and analyze the characteristics of criminal cases in Indonesia. From the results of the analysis, 3 clusters were formed based on the average of each cluster. Cluster 1 consists of Aceh, West Sumatra, Riau, Jambi, South Sumatra, Bengkulu, Lampung, Kep. Bangka Belitung, Kep. Riau, West Java, Central Java, DI Yogyakarta, East Java, Banten, Bali, West Nusa Tenggara, East Nusa Tenggara, West Kalimantan, Central Kalimantan, South Kalimantan, East Kalimantan, North Sulawesi, Central Sulawesi, South Sulawesi, Southeast Sulawesi, Gorontalo, Maluku, North Maluku and Papua. Cluster 2 consists of North Sumatra while Cluster 3 consists of Metro Jaya. The grouping results are the basis of the government, apparatus, and the community in implementing the handling of criminal acts that occur in each cluster area so that prevention can minimize the losses caused by these crimes.

scholarly journals PEMANFAATAN DATAMINING PADA PENGELOMPOKAN PROVINSI TERHADAP PENCEMARAN LINGKUNGAN HIDUP

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Mawaddah Anjelita ◽  
Agus Perdana Windarto ◽  
Dedy Hartama
Keyword(s):  
Water Pollution ◽  
Clustering Algorithm ◽  
High Water ◽  
West Kalimantan ◽  
Central Java ◽  
East Kalimantan ◽  
North Sulawesi ◽  
West Sumatra ◽  
The Government ◽  
The Many

This research aims to provide input for the government so that it can immediately tackle water pollution given the many adverse effects that lurk in various aspects of life. The method used in this study researchers used the method of K-means clustering datamining algorithm. The data used in this study are the number of villages according to the type of environmental pollution in 2018 which consists of 34 provinces in Indonesia obtained through the official website of the Directorate of Statistics Indonesia. The variable used is water pollution. The variable used is water pollution. Data is grouped into 2 clusters, namely provinces that have high levels of water pollution (C1) and provinces that have low levels of water pollution (C2). K-Means Clustering algorithm in this study produces 2 iterations, so the final result is: high water pollution (C1) in the provinces of North Sumatra, West Java, Central Java, East Java, for low level water pollution (C2) is in provinces of Aceh, West Sumatra, Riau, Jambi, South Sumatra, Bengkulu, Lampung, Kep.Bangka Belitung, Kep.Riau, DKI Jakarta, DI Yogyakarta, Banten, Bali, West Nusa Tenggara, East Nusa Tenggara, West Kalimantan, Central Kalimantan, South Kalimantan, East Kalimantan, North Kalimantan, North Sulawesi, Central Sulawesi, South Sulawesi, Southeast Sulawesi, Gorontalo, West Sulawesi, Maluku, North Maluku, West Papua, Papua.Keywords:Datamining, Clustering, K-means , Water pollution

PENERAPAN ALGORITMA K-MEANS UNTUK PENGELOMPOKAN DAERAH RAWAN BENCANA DI INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 1-10
Author(s):  
Amril Mutoi Siregar
Keyword(s):  
Natural Disasters ◽  
Accurate Data ◽  
Disaster Victims ◽  
Central Java ◽  
North Sulawesi ◽  
Natural Beauty ◽  
Or Groups ◽  
Disaster Data ◽  
The Government ◽  
Almost All

Indonesia is a country located in the equator, which has beautiful natural. It has a mountainous constellation, beaches and wider oceans than land, so that Indonesia has extraordinary natural beauty assets compared to other countries. Behind the beauty of natural it turns out that it has many potential natural disasters in almost all provinces in Indonesia, in the form of landslides, earthquakes, tsunamis, Mount Meletus and others. The problem is that the government must have accurate data to deal with disasters throughout the province, where disaster data can be in categories or groups of regions into very vulnerable, medium, and low disaster areas. It is often found when a disaster occurs, many found that the distribution of long-term assistance because the stock for disaster-prone areas is not well available. In the study, it will be proposed to group disaster-prone areas throughout the province in Indonesia using the k-means algorithm. The expected results can group all regions that are very prone to disasters. Thus, the results can be Province West java, central java very vulnerable categories, provinces Aceh, North Sumatera, West Sumatera, east Java and North Sulawesi in the medium category, provinces Bengkulu, Lampung, Riau Island, Babel, DIY, Bali, West Kalimantan, North Kalimantan, Central Sulawesi, West Sulawesi, Maluku, North Maluku, Papua, west Papua including of rare categories. With the results obtained in this study, the government can map disaster-prone areas as well as prepare emergency response assistance quickly. In order to reduce the death toll and it is important to improve the services of disaster victims. With accurate data can provide prompt and appropriate assistance for victims of natural disasters.

THE IMPLEMENTATION OF MYORGANIC: A CASE STUDY OF KOPERASI ABSB

2018 ◽  
Vol 13 (Number 2) ◽  
pp. 78-87
Author(s):  
Sabariyah Hoyaeli ◽  
Zakirah Othman ◽  
Iswandi Anas ◽  
Shafini M. Shafie
Keyword(s):  
Qualitative Method ◽  
Daily Routine ◽  
Staple Food ◽  
Farming Practices ◽  
Organic Farms ◽  
External Audit ◽  
Agriculture Industry ◽  
The Government ◽  
Organic Standards

Rice is a staple food and daily routine for Malaysians. Currently, the increasing population in Malaysia has led to the need to increase rice production with more quality. Therefore,the government established a scheme with national organic standards, MS 1259: 2015 which is myOrganic certification to recognize organic farms. Koperasi ABSB is the first rice farm that obtained this certification. Thus, the aims of this study are to explore the implementation of myOrganic in Koperasi ABSB and the barriers faced by this cooperative to implementing myOrganic certification. Qualitative method is used in this case study through interviews and observation. The finding showed that the implementation of myOrganic is as follows, by register myGAP, register myOrganic, Department of Agricultural Malaysia (DOA) will send a supervisor, prepare nine files or records, perform internal and external audit, and renew myOrganic. This study is expected to increase awareness of organic farming practices and promote the implementation of myOrganic in agriculture industry especially for the new farmer who wants to register and obtain myOrganic certification.

Implementation of Regulation of The Minister of Kominfo Number 20 2016 in Disdukcapil Sleman, Temanggung, and Gianyar District

2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Nfn Darmanto ◽  
Nur Zaini
Keyword(s):  
Personal Data ◽  
Electronic Systems ◽  
Case Study Method ◽  
Literature Study ◽  
Civil Registration ◽  
Edwards Model ◽  
District Government ◽  
The Government ◽  
Study Techniques

AbstrakPenelitian ini dilatarbelakangi oleh menguatnya wacana mengenai pentingnya perlindungan data pribadi  dan terbitnya Peraturan Menteri Komunikasi dan Informatika Nomor 20 Tahun 2016 tentang Perlindungan Data Pribadi dalam Sistem Elektronik. Adapun tujuan penelitian adalah untuk mengetahui kinerja implementasi Peraturan Menteri tersebut di lingkungan Pemerintah Kabupaten. Penelitian  dilakukan di Dinas Kependudukan dan Pencatatan Sipil pada Pemerintah Kabupaten Gianyar, Temanggung, dan Sleman dengan menggunakan metode studi kasus, sedangkan pengum­pu­lan data menggunakan teknik studi pustaka, wawancara, dan observasi. Pembahasan dilakukan dengan menggunakan konsep implemen­tasi model Edwards yang melihat implementasi berdasarkan variabel komunikasi, sumber-sumber, kecenderungan-kecenderu­ngan, dan struk­tur birokrasi. Hasil penelitian menunjuk­kan bahwa penyelenggaraan administrasi kependudukan yang di dalamnya termasuk perlindungan data pribadi oleh Dinas Kependudukan dan Pencatatan Sipil merujuk pada Peraturan Menteri Dalam Negeri Nomor 61 Tahun 2015, sedangkan Peraturan Menteri Komunikasi dan Informatika Nomor 20 tahun 2016 sama sekali belum mereka ketahui. AbstractThis research is motivated by the strengthening of discourse regarding the importance of protecting personal data and the issuance of Minister of Communication and Information Regulation No. 20 of 2016 concerning Protection of Personal Data in Electronic Systems. The research objective is to determine the performance of the implementation of the Ministerial Regulation within the District Government. The study was conducted at the Department of Population and Civil Registration at the Government of the Regency of Gianyar, Temanggung, and Sleman by using a case study method, while data collection using literature study techniques, interviews, and observations. The discussion was carried out using the concept of implementation of Edwards model that looked at implementation based on communication variables, sources, trends, and bureaucratic structure. The results showed that the administration of population administration which included the protection of personal data by the Population and Civil Registry Office referred to the Minister of Home Affairs Regulation No. 61 of 2015, while the Minister of Communication and Information Regulation No. 20 of 2016 was completely unknown to them.   

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