scholarly journals PEST PROBLEMS OF COCONUT HYBRID PRODUCTION IN INDONESIA WITH SPECIAL REFERENCE TO SCDP

CORD ◽  
1985 ◽  
Vol 1 (01) ◽  
pp. 34
Author(s):  
Dante R.A. Benigno, PhD. ◽  
Ir. Soetardjo Soewarno
Keyword(s):  
Special Reference ◽  
World Bank ◽  
Hybrid Production ◽  
North Sulawesi ◽  
South Sulawesi ◽  
Directorate General

SCDP is a World Bank and Government of Indonesia fundect project managed by the Directorate General of Estates of the Mi­nistry of Agriculture. This project is responsbile for the planting of coconut hybrids as well as local talls, but mostly hybrids. Since 1981 to date, some 22,000 ha have already been planted to hybrids in 70 coconut working centers (CWC) widely scattered in 6 provinces such as Aceh, Lampung, South Sulawesi, Central Su­lawesi, North Sulawesi, and Maluku (Fig.1).

THE USE OF FORCE MAJEURE BY ATTORNEY AGAINST TAXATION CRIME

2018 ◽  
Vol 2 (2) ◽  
pp. 182
Author(s):  
Adnan Hamzah ◽  
Muhammad Djafar Saidi ◽  
Amir Ilyas
Keyword(s):  
Use Of Force ◽  
Normative Study ◽  
Information Transparency ◽  
South Sulawesi ◽  
Additional Investigation ◽  
Force Majeure ◽  
Directorate General ◽  
Financial Losses

<p>This study aimed to see the effectiveness of using force majeure along with the challenges the attorney might encounter against taxation crime. It was a normative study with statute and case approaches. The study was conducted in High Prosecutor General office in Makassar and Directorate General of Tax South Sulawesi. The result showed that the force majeure by attorney against taxation crime might be applied in the form of detention to complete particular documents and conduct an additional investigation before filing the case to the court. The challenges in implementing the force majeure by attorney against taxation crime might come from legal and non-legal factors. The former involved confusing phrase of ‘investigation termination’ by attorney and the light different view on state financial losses between under Corruption Law and under General Act of Taxation, and the later involved the professionalism of attorney and information transparency. </p>

scholarly journals Analisis Kesenjangan Pertumbuhan Ekonomi Antar Wilayah Se Sulawesi

Al-Buhuts ◽  
2018 ◽  
Vol 14 (02) ◽  
pp. 38-52
Author(s):  
Ritmon Amala
Keyword(s):  
Time Series Data ◽  
Series Data ◽  
Positive Trend ◽  
Economic Stability ◽  
National Unity ◽  
Political Consequences ◽  
North Sulawesi ◽  
Analysis Process ◽  
South Sulawesi ◽  
Per Capita

Differences in the level of development will increase the level of speed between regions, which in turn causes greater regional disparities. Sulawesi Island has six provinces where each province has different economic growth. The push of the economy in every province in Sulawesi Island in it shows a positive trend. This study aims to examine the inequality of economic development between regions in North Sulawesi (2000–2013). The data used uses GRDP time series data, Population and Per Capita Revenue from 2000-2013. The analysis process used is Williamson Index Analysis. The results showed that the GDP per capita index between provinces in Sulawesi Island during the period 2000-2013 averaged 0.167 with a positive trend. The region that has the highest Williamson Index for South Sulawesi Province is (0.32) with a positive trend, and the lowest is West Sulawesi Province (0.08) with a positive trend. As a whole, the provinces in Sulawesi are in the crestieria: CVw <0.35 = Low level unity. But if the higher Williamson Index means to connect between large regions, it must be immediately sought to reduce the economic level caused by the economy between regions left to be higher, can cause social, economic and political consequences that occur in the sense of national unity, can issue the country's economic stability

scholarly journals IPTEKS OM-SPAN PADA DIREKTORAT JENDERAL PERBENDAHARAAN NEGARA SULAWESI UTARA

2018 ◽  
Vol 2 (02) ◽  
Author(s):  
Jeremia Renaldo Assa ◽  
Jessy Warongan
Keyword(s):  
Data Collection ◽  
Qualitative Data ◽  
Online Monitoring ◽  
The State ◽  
North Sulawesi ◽  
Internal Part ◽  
Directorate General ◽  
Monitoring Application ◽  
Qualitative Data Collection

This report shows how modernization greatly influences the performance carried out, which makes work easier and faster precisely. using the online monitoring application SPAN on the performance of employees at the directorate general of the state of North Sulawesi, especially in the internal part of the company to be more efficient in monitoring stakeholders. this report is compiled descriptively and qualitative data collection. the results of which affect work, resulting in satisfactory work results in the directorate general of the state treasury of North Sulawesi.Keywords : modernization, online monitoring, SPAN 

scholarly journals Stabilitas Hasil Jagung Varietas Hibrida Harapan Umur Genjah

2016 ◽  
Vol 35 (2) ◽  
pp. 125
Author(s):  
Slamet Bambang Priyanto ◽  
R. Nenny Iriani ◽  
Andi Takdir M.
Keyword(s):  
Performance Test ◽  
Block Design ◽  
Small Variation ◽  
Maize Yield ◽  
High Yield ◽  
Yield Data ◽  
North Sulawesi ◽  
South Sulawesi ◽  
Early Maturing ◽  
Central Sulawesi

Maize yield represents the interaction between genotype and environment. An excellent genotype should have high mean yield and small variation across common locations.This information could be obtained through yield performance test and stability analysis of yield data obtained from multilocation trials. This research was aimed to find out yield stability of eight early maturing maize promising lines at five sites using the AMMI method. There were total 12 genotypes of maize hybrids used in this research, consisted of eight hybrids (CH-1, CH-2, CH-3, CH-4, CH-5, CH-6, CH-7, and CH-8) and four check varieties (Gumarang, Bima 3, AS-1, and Bisi 2). This research was conducted at five locations ie. Gowa (South Sulawesi), Donggala (Central Sulawesi), Manado (North Sulawesi), Probolinggo (East Java) and Lombok Barat (West Nusa Tenggara) from April to September 2013. The treatments were arranged in a randomized complete block design (RCBD) with 3 replications. Variable measured was grain yield at all trial locations. Analysis of variance was performed for each site data to determine the performance of each genotype at each location. Results showed that genotype CH-2, CH-4 and CH-6 were considered as stable genotypes. Genotype CH-2 and CH-4 have a potensial to be released as new early maturing variety, due to its high yield of 8.71 and 7.52 t/ha averaged over 5 locations. Genotype CH-6 yielded below the mean yield of all genotypes, while genotype CH-8 was adaptive to a specific location, such as in Donggala, with yield of 8.38 t/ha.

scholarly journals Level of Correlation in the Depth of Groundwater Wells: Iron and Chloride

2019 ◽  
Author(s):  
Ronny ◽  
Erlani ◽  
Jasman
Keyword(s):  
Groundwater Quality ◽  
Seawater Intrusion ◽  
Human Activities ◽  
Industrial Waste ◽  
Climate Factors ◽  
Urban Village ◽  
North Sulawesi ◽  
South Sulawesi ◽  
The Relationship ◽  
Groundwater Wells

Groundwater quality in each region is not always the same, this influenced by climate factors, lithology, time, human activities. The purpose of the research that conducted was to see the relationship among the depth of groundwater wells in two different study locations on the concentration of iron (Fe) and Chloride (Cl) levels in each sample. This research located in Mattiro Baji Village, Pangkep Regency, South Sulawesi and Sindulang Satu Urban Village, Manado City, North Sulawesi. The research sample amounted to 18 in the form of bottles of groundwater well samples which evenly taken at the study site. TDS Meter is used to quantity iron (Fe) concentration, and Chlorine Meter is chloride (Cl) levels in samples with mg/L. The outcomes of the study showed that there was no noteworthy relationship between the depth of groundwater wells and the levels of concentration of iron (Fe) and Chloride (Cl). Conditions that are still not contaminated by changes caused by the environment, industrial waste and seawater intrusion.

scholarly journals Estimasi Periode Ulang Gempa Bumi Di Wilayah Sulawesi Dengan Menggunakan Distribusi Gumbel

Jurnal MIPA ◽  
2013 ◽  
Vol 2 (2) ◽  
pp. 151
Author(s):  
Yustiani Frastika ◽  
Guntur Pasau ◽  
Jantje D. Prang
Keyword(s):  
Data Processing ◽  
Return Period ◽  
Data Distribution ◽  
Gumbel Distribution ◽  
Distribution Patterns ◽  
North Sulawesi ◽  
South Sulawesi ◽  
Using Data ◽  
Two Stages ◽  
Central Sulawesi

Estimasi periode ulang gempa bumi yang bersifat ekstrim dengan menggunakan Distribusi Gumbel dilakukan untuk menganalisis kejadian gempa bumi yang telah terjadi sebelumnya menggunakan data sejak Januari 1905-Juni 2013. Pengolahan dan analisis data dilakukan dengan dua tahap. Pertama,Pengujian dan pemeriksaan pola sebaran data. Kedua, menentukan periode ulang gempa bumi untuk mengetahui keberulangan gempa ekstrim yang akan terjadi selanjutnya. Hasil analisis yang diperoleh adalah Wilayah Sulawesi sangat rawan terhadap kejadian gempa bumi yang bersifat ekstrim. Tingkat pengulangan kejadian gempa bumi untuk Wilayah  Provinsi Sulawesi Utara dalam kurun waktu 62-100  tahun adalah 7 Mw, Wilayah Provinsi Gorontalodalam kurun waktu 75-100 tahun adalah 6,8 Mw, Wilayah Provinsi Sulawesi Tengah dalam kurun waktu 82-100 tahun adalah 6,9 Mw, Wilayah Provinsi Sulawesi Selatan dalam kurun waktu 319-686 bulan adalah 6,2 Mw, Wilayah Provinsi Sulawesi Barat dalam kurun waktu 113-217 bulan adalah  6,2 Mw dan Wilayah Provinsi Sulawesi Tenggara dalam kurun waktu 45-97 tahun adalah 6,0 Mw.The estimation of extreme earthquake return period by using the Gumbel distribution is made to analyze the occurrence of earthquakes that have occurred previously using data from January 1905 to June 2013. Data processing and analysis has been in two stages. First, testing and examination of data distribution patterns to see whether the data follow the theoretical distribution, in this case the Gumbel distribution. Second, determining the return period of the earthquake to see a recurrence of extreme earthquake is going to happen in the future. Results of the analysis showed that Sulawesi Region is highly vulnerable to earthquakes which are extreme. Return period of earthquake on the region of North Sulawesi province in the period of 62-100 years is 7.0 Mw, the region of Gorontalo Province in the period of 75-100 years is 6.8 Mw, the region of Central Sulawesi Province in the period of 82-100 years is 6.9 Mw, the region of South Sulawesi Province in the period of 319-686 months is 6,.2 Mw, the region of West Sulawesi province in the period of 113-217 months is 6.2 Mw and the region of Southeast Sulawesi province in the period of 45-97 years is 6.0 Mw.

scholarly journals Keragaman Fenotipe dan Genetik Kumbang Brontispa longissima (Coleoptera: Chrysomelidae) pada Tanaman Kelapa; The Genetic and Phenotypic Diversities of Brontispa longissima Beetle (Coleoptera: Chrysomelidae) on Coconut Palms

Buletin Palma ◽  
2018 ◽  
Vol 18 (2) ◽  
pp. 83
Author(s):  
Jelfina C. Alouw ◽  
Ismail Maskromo ◽  
Fadjry Djufry
Keyword(s):  
Rapd Markers ◽  
Rapd Marker ◽  
Leaf Damage ◽  
Yield Losses ◽  
North Sulawesi ◽  
South Sulawesi ◽  
Two Samples ◽  
West Papua ◽  
Papua Barat ◽  
Different Color

<p align="center"><strong>ABSTRAK</strong></p><p><em>Brontispa longissima </em>merupakan salah satu hama utama kelapa yang dapat menyebabkan kerusakan daun dan kehilangan hasil kelapa secara ekonomi. Terdapat variasi warna dan pola pewarnaan <em>elytra</em> <em>B. longissima</em> yang tersebar di Indonesia. Tujuan penelitian adalah untuk menganalisis keragaman fenotipe dan genetik hama <em>Brontispa longissima</em> yang berasal dari beberapa daerah dengan menggunakan marka RAPD. Analisis keragaman genetik berdasarkan marka RAPD dilakukan terhadap hama <em>B. longissima</em> yang dikoleksi dari Sulawesi Utara (Sulut), Sulawesi Selatan (Sulsel), Ambon/Seram, dan Papua Barat. Penelitian dilaksanakan di Laboratorium Terpadu Hama dan Penyakit Balai Penelitian Tanaman Palma (Balit Palma), dan Laboratorium Balai Besar Penelitian dan Pengembangan Bioteknologi dan Sumberdaya Genetik Pertanian (BB Biogen), dari Bulan Maret sampai dengan November 2016. Berdasarkan analisis RAPD menggunakan 3 primer pada enam sampel <em>B. longissima </em>menunjukkan sampel mengelompok menjadi dua kelompok besar yaitu kelompok I terdiri atas sampel Papua Barat dan Sulsel 2 dan kelompok II  terdiri dari sampel  Ambon/Seram, Sulut 1, Sulut 2 dan Sulsel 1  dengan tingkat kemiripan sekitar 50%. Pada kelompok I, sampel Papua Barat dan Sulsel 2 mempunyai kemiripan sekitar 75%. Kemiripan tertinggi      (&gt; 80 %) tampak antara sampel Sulut 1 dan Sulut 2 yang memiliki warna dan pola warna <em>elytra</em> yang berbeda. Primer OPA 01 dapat digunakan untuk membedakan antar sampel atau keragaman populasi sehingga dapat diaplikasikan sebagai alat deteksi yang cepat dan akurat.   </p><p align="center"><strong> </strong></p><p align="center"><strong>ABSTRACT</strong></p><em>Brontispa longissima </em>is one of the main pests of coconut causing leaf damage and yield losses. Variation of color and pattern of the elytra was found among population of <em>B. longissima</em> distributed in Indonesia. The objective of the study was to analyze the phenotypic and genetic diversities of <em>Brontispa longissima</em> pests from several regions using RAPD markers. RAPD marker based diversities analysis was carried out to evaluate genetic and phenotipic relationships among population of <em>B. longissima</em> collected from North Sulawesi (Sulut), South Sulawesi (Sulsel), Ambon/Seram, and West Papua. Laboratory expriments were carried out at the Integrated Pest and Disease Laboratory of The Indonesian Palm Crops Research Institute (IPCRI) and the Laboratory of The Indonesian Center For Agricultural Biotechnology And Genetic Resources Research and Development (ICABOG RAD) from March to November 2016.  Three of the twenty primers selected, have grouped the samples into two distinct clusters.  Cluster analysis indicated 75% similarities between West Papua (P) populations and collections from South Sulawesi 2, and 50% similarities among samples from Ambon/Seram, North Sulawesi 1 and 2, and South Sulawesi 1. The highest similarity of more than 80% was found on two samples from North Sulawesi having different color and pattern of elytra. Primer OPA-01 showed highest polymorphism percentage.

scholarly journals DAMPAK KETERKAITAN EKONOMI PULAU SULAWESI, JAWA TIMUR DAN KALIMANTAN TIMUR TERHADAP EKONOMI WILAYAH

2016 ◽  
Vol 7 (1) ◽  
pp. 97 ◽  
Author(s):  
. Arman ◽  
Setia Hadi ◽  
Noer Azam Achsani ◽  
Akhmad Fauzi
Keyword(s):  
Spillover Effect ◽  
East Kalimantan ◽  
North Sulawesi ◽  
South Sulawesi ◽  
Small Influence ◽  
The Impact ◽  
Central Sulawesi ◽  
Better Than ◽  
Economic Linkages

This study analyzed the effects of the economic linkages between regions Other Sulawesi, South Sulawesi, East Java and East Kalimantan. North Sulawesi, Central Sulawesi, Southeast Sulawesi and Gorontalo aggregated into one unit area of Sulawesi Other. South Sulawesi and West Sulawesi aggregated into a single unit into a region of South Sulawesi. Combined with consideration of South Sulawesi, West Sulawesi because in 2005 both areas are still joined in a single administration. Basic Data 2005 in upgrade to the Year 2011 by using the technique of RAS. The estimated number of sectors as many as 35 sectors. The study analysis showed patterns of economic linkages Other Sulawesi region is relatively lower than other regions. The pattern of economic linkages in South Sulawesi region is relatively better than Other Sulawesi. Role of East Java's economy is very large compared to other regions. The pattern of East Kalimantan's economy is relatively good, but more influenced by oil mining sector. The impact of economic linkages between regions showed Sulawesi region Another economic impact to the region of East Java and East Kalimantan but very little significance to the region of South Sulawesi. Other Sulawesi region provide spillover effect to East Java and East Kalimantan but very little influence to South Sulawesi. The impact of economic linkages East Java provides a very small influence other regions. The impact of economic linkage East Kalimantan region give greater influence to the East Java region than to Other Sulawesi and South Sulawesi region

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