scholarly journals INVENTARISASI, DISTRIBUSI, DAN POLA PENYEBARAN Rhododendron EPIFIT DI KEBUN RAYA EKA KARYA BALI

2020 ◽  
Vol 23 (1) ◽  
pp. 59-68
Author(s):  
Tri Warseno ◽  
Rajif Iryadi ◽  
Dyan Meiningsasi Siswoyo Putri
Keyword(s):  
Light Intensity ◽  
Host Species ◽  
Random Sampling ◽  
Sampling Method ◽  
Distribution Patterns ◽  
Substrate Thickness ◽  
Botanic Gardens ◽  
Host Trees ◽  
Bischofia Javanica

Epiphytic Rhododendrons is an important component in an ecosystem, but there is not much information and studies related to its ecology. This research aims to inventory and study the distribution and distribution patterns of Rhododendron populations that grow naturally in Eka Karya Botanic Gardens Bali (KREK). Random sampling method was employed to census the host trees especially old ones (more than 20 years) that overgrown with Rhododendrons. The results showed that there is one species of epiphytic Rhododendron identified in the KREK, namely Rhododendron javanicum. It is found typically in thin substrate thickness with moderate light intensity, mostly in zone III and IV. There were five host species, namely Bischofia javanica Blume, Dacrycarpus imbricatus (Blume) de Laub., Glochidion rubrum Blume, Prunus sp., and Syzygium polyanthum (Wight) Walp. with a total number of 31 trees. The results of this study would provide considerations for KREK managers to conserve, develop and utilize policies of epiphytic Rhododendron species.

scholarly journals POPULATION DENSITY AND DISTRIBUTION PATTERNS OF KALAMBODO MUSSEL (Anodonta woodiana) IN THE SUB WATERSHED OF LAHOMBUTI RIVER, LAHOTUTU VILLAGE, KONAWE DISTRICT SOUTH EAST SULAWESI

AQUASAINS ◽  
2017 ◽  
Vol 8 (1) ◽  
pp. 759
Author(s):  
Muhammad Fajar Purnama ◽  
Abdullah Abdullah ◽  
Alfi Kusuma Admaja ◽  
La Ode Alirman Afu
Keyword(s):  
Population Density ◽  
Random Sampling ◽  
Sampling Method ◽  
Rice Field ◽  
Distribution Patterns ◽  
Average Density ◽  
Sampling Location ◽  
Channel Diameter ◽  
Irrigation Channel ◽  
Anodonta Woodiana

Abstrak The research was conducted in November 2018 - February 2019 in the Sub-watershed of the Lahombuti River in Lahotutu Village, Konawe Regency. The purpose of this study was to determine aspects of population density and distribution patterns of the Kalambodo (A. woodiana) in the Sub watershed of the Lahombuti tributary in Lahotutu Village, Wonggeduku District, Konawe Regency. The sampling location was determined using the purposive random sampling method. Sampling of Kalambodo (A. woodiana) was carried out at the location with the greatest abundance of A. woodiana, in the Sub watershed of the Lahombuti tributary of Lahotutu Village, on the "Main Rice Field Irrigation Channel" (diameter: ± 1,75 m, length: ± 4500 m, depth: ± 110 cm). Sampling of A. Woodiana was carried out at the same station with different spot sampling points. The Kalambodo samples were taken using a 1x1 m2 sized transect on 3 randomly assigned plots. The range of A. woodiana density per sub station is November 2018 amounting to 67-95 ind/m2, December 2018 is 41-61 ind/m2, January 2019 is 41-148 ind/m2 and February 2019 is 101- 114 ind/m2. The average density based on the period from the highest to the lowest is obtained in February 2019, January 2019, November 2018, and December 2018, which is 106.67 ind/m2, 81.33 ind/m2, 78 ind/m2, and 53 ind/m2, respectively. The distribution pattern of A. woodiana in the Sub-watershed of the Lahombuti River Basin generally shows a uniform category (Id <1), with a range of morisitha index values of 0.65-0.87.

scholarly journals PROTALIUM ASSOCIATION WITH VARIOUS EPIPHYTE GROUPS IN THREE TYPES OF HOST TREE

2019 ◽  
Vol 12 (2) ◽  
pp. 150-156
Author(s):  
Agung Sedayu ◽  
Rosa Maulivia ◽  
Hilda Shavina ◽  
Nurlaelatul Hilaliah ◽  
Muhammad Fadhil Haritsah ◽  
...  
Keyword(s):  
Host Species ◽  
Tree Species ◽  
Sampling Method ◽  
Positive Association ◽  
Negative Association ◽  
Host Tree ◽  
Purposive Sampling ◽  
Vascular Epiphytes ◽  
Host Trees

AbstrakSalah satu kelompok epifit vaskular penting adalah paku-pakuan dengan fase awal pertumbuhannya disebut sebagai protalium. Tumbuhnya protalium di suatu lokasi menjadi penentu bahwa lokasi tersebut potensial ditumbuhi paku-pakuan dewasa. Asosiasi antara protalium dengan tumbuhan lainnya mungkin bermanfaat untuk menentukan potensi satu jenis inang sebagai tempat hidup dari banyak jenis tumbuhan epifit. Oleh karena itu, dilakukan studi asosiasi antara protalium dengan paku dewasa, lumut, liken dan epifit spermatofita pada tiga jenis pohon inang, yaitu Archontophoenix alexandrae, Bichofia javanica dan Dacrycarpus imbricatus. Metode yang digunakan dalam penelitian ini yaitu Purposive Sampling untuk menentukan tiga jenis pohon inang dengan besar masing-masing diameter pohon (DBH) adalah 30–100 cm. Pengambilan sampel protalium dan epifit vaskular lain diambil pada masing-masing zonasi menggunakan milimeter block. Hasil penelitian menunjukkan terdapat lima kombinasi, yaitu protalium dengan paku, lumut dengan epifit spermatofita, protalium dengan epifit spermatofita, protalium dengan lumut dan paku dengan lumut. Asosiasi positif dengan nilai tertinggi adalah 23,12, dua kombinasi yang memiliki asosiasi negatif ialah liken dengan lumut dan antara epifit spermatofita dengan liken, dan tiga kombinasi yang tidak berasosiasi ialah protalium dengan liken, paku dengan liken, dan paku dengan epifit spermatofita. Hal tersebut menunjukkan bahwa protalium berbagi karakter habitatnya dengan tiga kelompok tersebut dan tidak dengan kelompok lainnya. Penelitian ini sangat berguna untuk mengetahui jenis pohon dan karakteristik lingkungan yang sesuai untuk pertumbuhan protalium.Abstract One of important epiphyte vascular groups is ferns which the beginning phase of their growth is called protalium. Protalium’s growth in one location becomes indicator that the location has a potential to be grown by mature ferns. Association between protalium and other plants may become beneficial to determine the potential of a host species as the host of many epiphytes. Therefore, research about association between protalium and mature ferns, mosses, lichens, spermatophyte epiphyte also was conducted on three species of host tree there are Archontophoenix alexandrae, Bichofia javanica and Dacrycarpus imbricatus. Purposive sampling method was used in this research to determine three types of host trees with the size of 30–100 cm for each tree diametre. Sampling of protalium and other vascular epiphytes was taken in each zonasing using milimeter block. The research showed there are five combinations, protalium with ferns, mosses with spermatophyte epiphytes, protalium with spermatophyte epiphytes, protalium with mosses and fern with mosses. Positive association with the highest value is 23.12, two combinations with negative association are lichen with mosses and spermatophyte epiphyte with lichens, three combinations that aren’t associated, protalium with lichens, ferns with lichens and ferns with spermatophyte epiphyte. It showed that protalium shares its habitat character with those three groups, not with other group. This study has valuable benefits of knowing tree species and enviromental characteristic that are suitable for protalium growth.

scholarly journals Paku Epifit pada Gymnospermae di Kebun Raya Cibodas

2021 ◽  
Vol 7 (2) ◽  
pp. 49-56
Author(s):  
Rizkia Adhatirana ◽  
Nina Ratna Djuita ◽  
Sulistijorini Sulistijorini ◽  
Taufikurrahman Nasution
Keyword(s):  
Principal Component Analysis ◽  
Random Sampling ◽  
Dominant Species ◽  
Sampling Method ◽  
Principal Component ◽  
Botanical Garden ◽  
Host Trees ◽  
Method Factors ◽  
Microclimate Conditions ◽  
Epiphytic Fern

Epiphytic ferns can be found in host trees from the Angiosperm and Gymnosperm groups. Epiphytic ferns in Angiosperm plants host have been widely studied, but there is little known for Gymnosperm plants host. The aim of this study was to identify the species of epiphytic ferns in the Gymnosperm plants host at Cibodas Botanical Garden and to analyze the diversity of epiphytic ferns based on microclimate conditions and the surface texture of Gymnosperms plants host. Epiphytic ferns diversity data was obtained using purposive random sampling method. Factors that influence the occupancy of ferns are analyzed using Principal Component Analysis. Epiphytic ferns in Gymnosperm host at Cibodas Botanical Garden were identified as 18 species including 7 family. The most dominant species of epiphytic fern is Davallia denticulata (59.45%). Diversity of epiphytic fern on Gymnosperm at Cibodas Botanical Garden is moderate (H’ = 1.81).

Faktor-Faktor Yang Mempengaruhi Keputusan Mahasiswa Memilih Program Studi Kebidanan STIKES Muhammadiyah Ciamis Tahun 2016

2018 ◽  
Vol 5 (1) ◽  
pp. 69-82
Author(s):  
Evi Mariana
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Sampling Method ◽  
Marketing Mix ◽  
Stratified Random Sampling ◽  
Price Promotion ◽  
F Test ◽  
Physical Evidence

The purpose of this study was to analyze the factors that influence the decisionof the students chose to study in Obstetrics Prodi STIKES Muhammadiyah Ciamis and analyze the factors that most influence the decision of the students chose to study in Obstetrics Prodi STIKES Muhammadiyah Ciamis. Collecting data in this study was conducted using a survey by questionnaire to 114 students by stratified random sampling method. Methods of data analysis using multiple linear regression, F test and test T. The result is a marketing mix that significantly is the product, place, and physical evidence. And that does not affect the marketing mix is price, promotion, place, and processes

BANKACILIKTA MÜŞTERİ İLİŞKİLERİ YÖNETİMİNİN MÜŞTERİ SADAKATİNE ETKİSİ

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Fikret GÜMÜŞBUĞA
Keyword(s):  
Customer Loyalty ◽  
Random Sampling ◽  
Management System ◽  
Care Management ◽  
Sampling Method ◽  
Simple Random Sampling ◽  
Face To Face ◽  
Descriptive Research ◽  
Customer Care ◽  
Research Type

This study mainly focuses on customer care management and customer loyalty. Even though there are many experiential studies about customer care management and customer loyalty system, the lack of studies on customers in Karabük and Safranbolu locally, has leaded to focus on this study. Thus, this study mainly focuses on the influence of customer care treatments of banks in Karabük and Safranbolu on customer loyalty. Descriptive research type was used in the study. In this study simple random sampling method was used which is one of the probability sampling method, face to face surwey to all 726 participants was used for the study. As the result of the experiential study, the attendance and influence of customer care management and loyalty systems have been comparatively low, but it has been figured out that customer care management system influences customer loyalty level.

A Scale Development Approach To Employees’ Perspective Of Knowledge Management In Banks

2019 ◽  
Vol 118 (7) ◽  
pp. 82-94
Author(s):  
DR.C. KATHIRAVAN ◽  
DR.M. MANIVANNAN ◽  
E.CHANDRA MOULI ◽  
A. RAJASEKAR
Keyword(s):  
Knowledge Management ◽  
Random Sampling ◽  
Tamil Nadu ◽  
Sampling Method ◽  
Sampling Technique ◽  
Technology Knowledge ◽  
Interview Method ◽  
Development Approach ◽  
Chennai City ◽  
Future Topics

The data were collected using personal interview method and a total of 455 employees who were in some aspect knowledge management in banks and identified through multistage random sampling method. Multistage random sampling technique is a probability sampling type where available study topics employ future topics from among their contacts. The study was limited to Chennai city of Tamil Nadu. The analysis found that banks employees moderately perceived towards factors of knowledge management such as knowledge utilization, information technology, knowledge motivation, knowledge storage, knowledge sharing enablers and knowledge creation. Hence, it is concluded that training program is important for the survival of knowledge management. It is also imperative for effective of employees’ job performance.

Kapasitas Adaptasi dan Resiliensi Komunitas Menghadapi Bencana Erupsi Gunung Merapi

2019 ◽  
Vol 2 (5) ◽  
pp. 617
Author(s):  
Nyimas Ayu Dillashandy ◽  
Nurmala K Panjaitan
Keyword(s):  
Adaptive Capacity ◽  
Random Sampling ◽  
Qualitative Data ◽  
Sampling Method ◽  
Sampling Technique ◽  
Community Resilience ◽  
Simple Random Sampling ◽  
Quantitative Approach ◽  
Institutional Memory ◽  
Innovative Learning

Mount Merapi eruption has occurred several times in Indonesia and the biggest eruption that last occurred in 2010. The community were suffered losses and were affected by eruptions. The purposes of this research are to analyze community resilience, to analyze the level of vulnerability, and to analize the community adaptive capacity. The research using a quantitative approach supported by qualitative data. Simple random sampling technique is used as the sampling method and the informant was taken purposively. The results of this research showed that when the eruption occurred the community has a high vulnerability. The adaptive capacity is also high with innovative learning based on institutional memory and supported by the connectedness. Communities achieve resilience and can adapt to changes with high adaptive capacity.  Keywords: adaptive capacity, community resilience, eruption, vulnerability ABSTRAK Erupsi Gunung Merapi sudah terjadi beberapa kali di Indonesia dan erupsi terbesar yang terjadi terakhir kalinya yaitu pada tahun 2010. Komunitas mengalami berbagai kerugian dan terkena dampak dari erupsi. Tujuan dari penelitian ini adalah untuk menganalisis resiliensi komunitas, menganalisis tingkat kerentanan komunitas, dan menganalisis kapasitas adaptasi komunitas. Penelitian ini dilaksanakan dengan menggunakan pendekatan kuantitatif yang didukung oleh data kualitatif. Pemilihan responden dilakukan dengan teknik sampel acak sederhana sedangkan pemilihan terhadap informan dilakukan secara sengaja. Hasil penelitian ini menunjukkan bahwa saat erupsi terjadi komunitas memiliki kerentanan yang tinggi. Kapasitas adaptasi komunitas tinggi dengan adanya innovative learning yang didasari oleh pengetahuan dan pengalaman dan didukung oleh jaringan yang dimiliki. Komunitas berhasil mencapai resiliensi dan dapat beradaptasi dengan perubahan-perubahan dengan kapasitas adaptasi yang tinggi.Kata kunci : kapasitas adaptasi, kerentanan, erupsi, resiliensi komunitas

PENGARUH NILAI PELANGGAN, INOVASI PRODUK DAN KUALITAS LAYANAN TERHADAP LOYALITAS NASABAH BANK MUAMALAT INDONESIA CABANG MADIUN

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Binti Mutafarida
Keyword(s):  
Quality Of Service ◽  
Customer Loyalty ◽  
Random Sampling ◽  
Product Innovation ◽  
Customer Value ◽  
Research Method ◽  
Sampling Method ◽  
Descriptive Research ◽  
Independent Variable

The development of sharia banking in Indonesia very rapidly grow up preceded by Bank Muamalat Indonesia and in 2013 ranked as the bank with the highest loyalty and the best among other sharia banking nationally. Bank Muamalat Indonesia branch of Madiun is one of the first branch in Madiun and currently has many competitors from other sharia banking. Based on this background, in this study take what factors affect the size of customer loyalty Bank Muamalat Indonesia branch of Madiun. Based on the result of research, it is found that the level of loyalty of customer of Bank Muamalat of Madiun branch is mostly influenced by product innovation with value of t test value obtained by t-count 2,493, while second factor is influenced by service quality with result of tcount 2,268. So the least influenced factor by the value of the customer is with value of 2.217. This research is a descriptive research method and associative / relationship, this matter to know the value of independent variable. While population of this research is funding customer of Bank Muamalat Indonesia branch of Madiun with amount of 22.196 customer by taking data using random sampling method as much as 108 customer. Keyword: Customer Value, Product Innovation AND Quality Of Service

Pengaruh Motivasi Kerja dan Budaya Kerja Terhadap Produktivitas Kerja Karyawan di Kebun Huta Padang PT. Perkebunan Nusantara III (PERSERO) Kabupaten Asahan Sumatera Utara

2020 ◽  
Vol 2 (2) ◽  
pp. 167-180
Author(s):  
Luli Achmad Gozali ◽  
Yusniar Lubis ◽  
Syaifuddin Syaifuddin
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Research Method ◽  
Sampling Method ◽  
Quantitative Approach ◽  
Stratified Random Sampling ◽  
Direct Influence ◽  
Dominant Influence

This study is aimed to determine and analyze the effect of the implementation of motivation and culture on the employees productivity at Huta Padang estate of PT. Perkebunan Nusantara III (Persero) Asahan Regency North Sumatera. This research method uses a quantitative approach, the type of research is a survey. The sample was determined by stratified random sampling method, 95 people. The data collection through questionnaires. Data were analyzed using multiple linear regression. The results showed that partially and simultaneously, the implementation of motivation and culture had a positive and significant effect on the employess productivity at Huta padang estate of PT. Perkebunan Nusantara III (Persero) Asahan Regency North Sumatera. The determination coefficient value of 0.882, indicates that the influence of the implementation of motivation and culture on the employess productivity of Huta Padang estate of PT. Perkebunan Nusantara III (Persero) Asahan Regency North Sumatera is 88.2%. The culture has more dominant influence on the employees produktivity at  Huta Padang estate of PT. Perkebunan Nusantara III (Persero) Asahan Regency North Sumatera, with a direct influence of 73,2%. 

scholarly journals Feature-Weighted Sampling for Proper Evaluation of Classification Models

2021 ◽  
Vol 11 (5) ◽  
pp. 2039
Author(s):  
Hyunseok Shin ◽  
Sejong Oh
Keyword(s):  
Random Sampling ◽  
Sampling Method ◽  
Classification Model ◽  
Training Set ◽  
Test Set ◽  
Feature Importance ◽  
Proper Training ◽  
Machine Learning Applications ◽  
Test Sets ◽  
The Given

In machine learning applications, classification schemes have been widely used for prediction tasks. Typically, to develop a prediction model, the given dataset is divided into training and test sets; the training set is used to build the model and the test set is used to evaluate the model. Furthermore, random sampling is traditionally used to divide datasets. The problem, however, is that the performance of the model is evaluated differently depending on how we divide the training and test sets. Therefore, in this study, we proposed an improved sampling method for the accurate evaluation of a classification model. We first generated numerous candidate cases of train/test sets using the R-value-based sampling method. We evaluated the similarity of distributions of the candidate cases with the whole dataset, and the case with the smallest distribution–difference was selected as the final train/test set. Histograms and feature importance were used to evaluate the similarity of distributions. The proposed method produces more proper training and test sets than previous sampling methods, including random and non-random sampling.

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