scholarly journals ANALISIS SEGMENTASI PASAR SAYURAN ORGANIK DI PULAU SAPARUA KABUPATEN MALUKU TENGAH

2020 ◽  
Vol 17 (1) ◽  
pp. 72
Author(s):  
Natelda Rosaldiah Timisela
Keyword(s):  
Z Score ◽  
Final Cluster ◽  
Cluster 2

<p>Penelitin ini bertujuan untuk mengetahui segmentasi pasar sayuran organik. Sampel penelitian terdiri dari petani dan pedagang sayuran organik diambil secara sensus berjumlah masing-masing 13 responden. Sedangkan sampel konsumen diambil secara incidental yaitu pengambilan sampel secara kebetulan berjumlah 40 orang. Hasil analisis final cluster menunjukkan bahwa cluster 1, z-score bernilai negatif yaitu usia dan pekerjaan sedangkan pada cluster 2, z-scor bernilai negatif yaitu pendidikan dan pendapatan. Hal ini berarti bahwa pada cluster 1, usia dan pekerjaan konsumen masih sangat minim untuk menentukan pilihan dalam memilih sayuran organik untuk dikonsumsi. Hal yang sama juga terjadi di cluster 2, pendidikan dan pendapatan konsumen masih rendah untuk memilih sayuran organik sebagai kebutuhan konsumen. Nilai F terbesar (56,156) terlihat pada Zscore pendidikan, dengan angka signifikan 0,000 yang berarti signifikansinya adalah nyata. Hal ini berarti faktor pendidikan sangat membedakan karakteristik kedua cluster. Atau dapat dikatakan bahwa pendidikan pada kedua cluster yang sangat berbeda antara cluster 1 dengan cluster 2.</p>

Segmenting Audiences and Tailoring Messages

2012 ◽  
Vol 18 (2) ◽  
pp. 98-111 ◽  
Author(s):  
Shelly Campo ◽  
Natoshia M. Askelson ◽  
Knute D. Carter ◽  
Mary Losch
Keyword(s):  
Cluster Analysis ◽  
Behavioral Interventions ◽  
Process Model ◽  
Contraceptive Use ◽  
Telephone Survey ◽  
Adult Women ◽  
High Susceptibility ◽  
Extended Parallel Process Model ◽  
Final Cluster ◽  
Cluster 2

Half of all pregnancies in young adult women are unintended, but few interventions have been successful in encouraging contraceptive use. The group heterogeneity likely contributes to the lack of success. Segmenting based on theories that provide meaningful information may improve tailoring and targeting of behavioral interventions. Previous research has indicated that threat, efficacy, and fear were important factors in influencing intentions to use contraceptives; therefore, the extended parallel process model (EPPM) was used for this cluster analysis. A telephone survey of randomly selected 18- to 30-year-old women in Iowa was conducted ( N = 401). The constructs of EPPM and age were used for conducting a K means cluster analysis with four clusters. The cluster analysis pointed to the importance of fear, perceived susceptibility, and age. All of the clusters had varying degrees of ambivalence about the severity of a pregnancy. Cluster 1 (27.8%) had high susceptibility, with little fear. Cluster 2 (23.8%) had high efficacy and higher fear. The third cluster (34.7%) was not fearful and had low susceptibility. The final cluster (13.8%) was younger than the other groups and had the lowest efficacy. Additional analyses were conducted to explore how the clusters varied on other variables. The clusters help campaign developers prioritize audiences and tailor messages.

Heuristische Typologien von Alkoholabhängigen

2011 ◽  
Vol 30 (07) ◽  
pp. 509-516
Author(s):  
K. Bühler
Keyword(s):  
Cluster 2

ZusammenfassungTrotz der Bedeutung biografischer Faktoren für die Alkoholabhängigkeit und Behandlung von Alkoholabhängigen haben wenige Studien biografische Daten von Alkoholabhängigen untersucht. Deshalb wurden in unserer Studie biografische Variablen zusätzlich zu Persönlichkeitsvariablen berücksichtigt. Die Personen wurden clusteranalysiert. Eine 5-Clusterlösung ergab eine gut interpretierbare Klassifikation. Das hinsichtlich des Schweregrades der Störung am wenigsten gestörte Cluster 2 (normovalenter Typ) wurde gefolgt von Cluster 4 (zielgerichtet neurotischer Typ), Cluster 1 (sozionoxischer Typ), Cluster 5 (desorganisiert neurotischer Typ) und Cluster 3 (neurosozionoxischer Typ). Der normovalente Typ ist der signifikant älteste und der neurosozionoxische Typ der signifikant jüngste Typ. Frauen überwiegen in den Typen mit der stärksten Beeinträchtigung, das heißt, im Cluster 3 und 5. Patienten des Clusters 2 entstammen signifikant seltener, Patienten des Clusters 3 hingegen signifikant häufiger unvollständigen Familien. Patienten des Clusters 2 wuchsen signifikant häufiger bei ihren Eltern auf, Patienten des Clusters 3 und 5 hingegen signifikant weniger. Patienten des Clusters 2 und 4 lebten signifikant häufiger in Partnerschaften als die restlichen Cluster. Den entdeckten Typen von Alkoholabhängigen kommt nicht nur eine deskriptive Bedeutung zu, sondern in Anbetracht des unterschiedlichen Schweregrades der Störung auch eine differenzialtherapeutische. Daher wird entsprechend des Schweregrades der Störung eine Differenzialtherapie vorgeschlagen.

Penerapan Data Mining Untuk Prediksi Penjualan Mobil Menggunakan Metode K-Means Clustering

2020 ◽  
Vol 3 (3) ◽  
pp. 187-201
Author(s):  
Sufajar Butsianto ◽  
Nindi Tya Mayangwulan
Keyword(s):  
Data Mining ◽  
Clustering Data ◽  
Cluster 2

Penggunaan mobil di Indonesia setiap tahunnya selalu meningkat dan membuat perusahaan otomotif berlomba-lomba dalam peningkatan penjualannya. Tujuan dari penelitian ini untuk mengelompokan data penjualan kedalam sebuah cluster dengan metode Data Mining Algoritma K-Means Clustering. Data Penjualan nantinya akan dikelompokan berdasarkan kemiripan data tersebut sehingga data dengan karakteristik yang sama akan berada dalam satu cluster. Atribut yang digunakan adalah brand dan penjualan. Cluster yang terbentuk setelah dilakukan proses K-Means Clustering terbagi menjadi tiga cluster yaitu Cluster 0 jumlah anggota 235 dengan presentase 26% dikategorikan Laris, Cluster 1 jumlah anggota 604 dengan presentase 67% dikategorikan Kurang Laris, dan Cluster 2 jumlah angota 61 dengan presentase 7% dikategorikan Paling Laris, dari proses clustering diatas dapat diperoleh validasi DBI (Davies Bouldin Index) dengan nilai 0,341

ANALISA KESEHATAN KEUANGAN PERUSAHAAN UNTUK MEMPREDIKSI KEBANGKRUTAN PERUSAHAAN DENGAN MENGGUNAKAN METODE ALTMAN (STUDI KASUS PADA PERUSAHAAN MANUFAKTUR SEKTOR KOMPONEN OTOMOTIF YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2011 – 2015)

2019 ◽  
Vol 13 (2) ◽  
pp. 55
Author(s):  
Indar Khaerunnisa ◽  
Edy Cahyadi
Keyword(s):  
Motor Vehicle ◽  
Stock Exchange ◽  
Secondary Data ◽  
Z Score ◽  
Financial Ratio ◽  
Average Value ◽  
Automotive Components ◽  
Grey Area ◽  
Financial Ratio Analysis ◽  
Year 2013

The Indonesian government has set the motor vehicle industry as one of the priority industries of the national interest, economic growth, and increased productivity. In order for the survival of a company is maintained, then the management should be able to maintain or even more spur increased performance. Various analyzes were developed to predict the beginning of the bankruptcy of the company. One analysis is widely used today is the analysis of Altman Z-Score, which this analysis refers to the financial ratios of the company. The purpose of this study was to analyze the bankruptcy of the automotive components companies that go public in Indonesia Stock Exchange year period 2011–2015. This study used a sample of four companies from the automotive components sector. Source of data is done by using secondary data. The data is processed by the method of the Z-score formula Z = 1,2X1 + 1,4X2 + 3,3X3 + 0,6X4 + 0,999X5. With the description of Z < 1,8 the company categorized into unhealthy/will be bankrupt, the value Z 1,8 < 2,99 the company is considered to be in the uncertain/grey area and the value of Z > 2,99 then the company is in a very healthy. In general, the results of these studies indicate that the four automtive components companies namely PT Astra Otoparts year 2011 value of Z = 14,67 year 2012 value of Z = 10,88 year 2013 value of Z = 13,90 year 2014 value of Z = 10,54 year 2015 value of Z = 4,94, PT Gajah Tunggal year 2011 value of Z = 5,72 year 2012 value of Z = 4,75 year 2013 value of Z = 3,10 year 2014 value of Z = 2,79 year 2015 value of Z = 1,58 and the average value of 2011-2015 periode Z = 3,59, PT Goodyear Indonesia year 2011 value of Z = 2,07 year 2012 value of Z = 2,44 year 2013 value of Z = 2,57 year 2014 value of Z = 2,02 year 2015 value of Z = 2,76, PT Indomobil Sukses Internasional year 2011 value of Z = 6,19 year 2012 value of Z = 3,99 year 2013 value of Z = 3,17 year 2014 value of Z = 2,59 year 2015 value of Z = 1,74. The average value 2011-2015 period showed 3 companies are in very healthy state and 1 company is in the uncertain/grey area. Keywords: Financial Ratio Analysis, Analysis of bankruptcy, Altman Z-Score Analysis, Automotive Components Company, Go Public.

Двухжелудочковая коррекция врожденных пороков сердца у пациентов с гипоплазией структур левых отделов сердца: морфометрические и гемодинамические критерии

2020 ◽  
Author(s):  
L.A. Bokeriia ◽  
S.V. Kalashnikov ◽  
I.E. Nefedova
Keyword(s):  
Z Score

Цель.Определить морфометрические и гемодинамические критерии возможности выполнения двухжелудочковой коррекции у новорожденных и детей первого года жизни с врожденными пороками сердца (ВПС), сопровождающимися гипоплазией структур левого сердца. Материал и методы. В период с 2003 по 2016 г. в НМИЦССХ им. А.Н. Бакулева было пролечено 56 пациентов первого года жизни со сложными ВПС, сочетающимися с гипоплазией структур левых отделов сердца. В зависимости от морфометрических и морфофункциональных данных пациенты были разделены на две группы: 1-я группа одномоментной двухжелудочковой коррекции (n29), 2-я этапной двухжелудочковой коррекции (n27). Средний возраст на момент первичного поступления составил 35,955,4 дня (от 1 дня до 7,5 мес), масса тела на момент первичного обращения в общей группе 3,81,1 (2,177,6) кг, площадь поверхности тела 0,240,047 (0,160,36) м2. Z-score митрального клапана (МК) на момент первичного вмешательства в 1-й группе составил 2,770,70 (0,84...4,14), Z-score аортального клапана (АК) составил 2,890,85 (0,58...4,5), индексированный конечный диастолический объем левого желудочка (иКДО ЛЖ) 21,33,99 (1635). Z-score МК на момент первичного вмешательства во 2-й группе составил 3,540,74 (1,55...4,70), Z-score АК составил 4,351,11 (2,63...7,04), иКДО ЛЖ 17,663,06 (1222). Всем пациентам были выполнены различные оперативные вмешательства, направленные на создание двухжелудочковой гемодинамики. Пациенты, умершие в раннем послеоперационном периоде по причине сердечной недостаточности, составили группу контроля (8 пациентов). Результаты. Если размеры (Z-score) кольца МК более 4,5, кольца АК более 6, выводного отдела ЛЖ более 6, восходящей аорты более 4, дуги аорты более 4, иКДО ЛЖ (мл/м2) более 15, отношение длины ЛЖ/ПЖ по продольной оси 0,8 и более, то оптимальным является выполнение одножелудочковой коррекции. Были определены гемодинамические и морфометрические показания к одномоментной и этапной двухжелудочковой коррекции. Выводы. У пациентов со сложными ВПС, сочетающимися с гипоплазией структур левых отделов сердца и обструкцией кровотока через левые отделы, успешная двухжелудочковая коррекция возможна не менее чем в 85 случаев.

ANALISIS PREDIKSI POTENSI KEBANGKRUTAN PADA PT BANK MUAMALAT INDONESIA Tbk PERIODE 2012-2016 DENGAN MENGGUNAKAN METODE ALTMAN MODIFIKASI

2017 ◽  
Vol 5 (2) ◽  
pp. 287-324
Author(s):  
Dewi Laela Hilyatin
Keyword(s):  
Financial Performance ◽  
Financial Structure ◽  
Financial Statements ◽  
Financial Ratios ◽  
Z Score ◽  
Altman Analysis ◽  
Gray Area ◽  
Modification Method ◽  
A Company

Abstract Bankruptcy is a very essential issue that every company should be aware of. Bankruptcy of a company can be minimized by advanced prediction; such as analyzing the financial statements. This study discusses the financial performance of PT Bank Muamalat Indonesia Tbk, which indicates that there is a degression in some number of financial ratios, the closing of offices and firing of employees in 2012-2016, causing he fact that BMI must pay attention and improve its financial performance and anticipate the existence of a bankruptcy in the company. Based on Altman analysis modification for financial performance of PT Bank Muamalat Indonesia Tbk in 2012-2016, it found Z-Score value of 0,825, 0,659, 1,243, 0,982 and 0,892. Based on Z-Score criteria, PT Bank Muamalat Indonesia Tbk is predicted to experience problems in management and financial structure and also in potentially bankruptcy due to Z-Score value <1,1 while the highest Z-Score value is in 2014, which shows the value of Z-Score>1,1 and <2,6, which means the company is in the gray area, meaning the company’s category is not said to be bankrupt and also not healthy. Keywords: Bankruptcy, Altman Modification Method

Financial Statement Ratio Analysis to Predict Bankruptcy nn Company Registered in BEI - Jakarta (Altman Z-Score Method and Zmijewski)

2020 ◽  
Vol 3 (3) ◽  
pp. 122
Author(s):  
Andi Silvan
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Good Condition ◽  
Financial Statement ◽  
Depth Information ◽  
Z Score ◽  
Industrial Manufacturing ◽  
Financial Difficulties ◽  
A Value ◽  
Score Method

AbstractThis study takes the topic of predicting corporate bankruptcies. This research dqlam use traditional methods Altman Z-Score and Zmijewski. The purpose of this study was to obtain in-depth information about predicting bankruptcy of companies that are not necessarily directly to bankruptcy, but there is financial distress.Based on the results of research conducted on the four (4) non industrial manufacturing company listed on the Indonesia Stock Exchange (BEI). Obtaining the value z-score represents the average company are in good condition, which means no financial distress. Acquisition value of x-score has a value of less than 0 (zero) which means that the company is in good condition and is predicted not experiencing financial difficulties. This study led to the conclusion that the Altman Z-Score and Zmijewski method can be used to predict corporate bankruptcy. Keywords: Financial Ratios, Bankruptcy, Company.

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