scholarly journals Penerapan Cara Produksi Pangan yang Baik pada Industri Kecil Menengah (IKM) yang Telah Tersertifikasi Halal LPPOM MUI Provinsi DKI Jakarta

2020 ◽  
Vol 5 (4) ◽  
pp. 197
Author(s):  
Maryam Jameelah ◽  
Nafisah Eka Puteri
Keyword(s):  
Principal Component Analysis ◽  
Small And Medium Enterprises ◽  
Principal Component ◽  
Component Analysis ◽  
The Body ◽  
Observation Data ◽  
Knowledge Level ◽  
Safety Level ◽  
Purposive Sampling ◽  
Medium Enterprises

<p><em>Abstrak</em> - <strong>Sertifikasi Halal suatu produk pangan tentu meningkatkan kepercayaan konsumen pada produk pangan tersebut. Akan tetapi, kriteria ‘halal’ tidaklah cukup jika tidak memperhatikan aspek ‘thoyyib’. Masyarakat umumnya mengira bahwa pangan bersertifikat halal sebagai pangan yang ‘thoyyib’. Aspek ‘thoyyib’ yang dimaksudkan adalah aman dikonsumsi dan telah melalui tahapan atau prosedur yang sesuai, sehingga diharapkan tidak menimbulkan efek penyakit bagi konsumen. Penelitian ini bertujuan untuk memperoleh deskripsi mengenai penerapan cara produksi pangan yang baik pada industri kecil menengah produk minuman dan bahan minuman yang telah tersertifikasi halal. Pada penelitian ini metode survei dilakukan dengan teknik purposive sampling. Data yang diamati berupa pengetahuan pemilik mengenai CPPB (Cara Produksi Pangan yang Baik) dan ketercapaian penerapan CPPB, terutama pada fasilitas sanitasi, higienitas proses produksi, serta pengawasan proses produksi. Teknik pengumpulan data dilakukan dengan wawancara dan observasi dengan bantuan kuesioner, panduan wawancara, dan lembar observasi. Data dianalisis dengan teknik analisis deskriptif melalui penyajian berbentuk grafik, tabel dan narasi. Data hubungan penerapan CPPB dan sertifikasi halal diolah menggunakan XLSTAT dengan Principal Component Analysis (PCA). Hasil analisa menunjukkan bahwa sertifikasi halal pada IKM tidak hanya mencerminkan aspek “halal” tetapi dapat pula mencerminkan aspek “thoyyib” produk yang dihasilkan. Sementara itu, tingkat pengetahuan pemilik IKM tidak dapat mencerminkan tingkat keamanan pangan yang diimplementasikan selama proses produksi. Hal ini dapat disebabkan oleh kurangnya kesadaran pemilik dan penanggungjawab IKM dan tidak adanya pengawasan oleh lembaga atau badan yang bertanggungjawab akan kulitas produk.</strong></p><p><em>Abstract</em> – <strong>Consumer trust in food products may increase with halal claims on the product. However, ‘halal’ is different from ‘thoyyib’. People assume that halal food is ‘thoyyib’. ‘Thoyyib’ means good to consume and health for the body. This study aimed to obtain the description of Good Manufacturing Practice (GMP) on Small and Medium Enterprises (SMEs) holding Halal certification. To gain the purpose, the purposive sampling method was applied to this research. The level of IRTP and knowledge level of GMP were observed. Data were collected by interview and observation. Data were analyzed by descriptive analysis using the graph, table, and narration. Correlation of GMP implementation and the halal claim was provided by Principal Component Analysis (PCA) using XLSTAT. Results showed that halal claims on SMEs may reflect the safety of the product. Halal-claimed food might be classified as ‘thoyyib’ food. However, the knowledge level of the owner can not reflect the food safety level of the product.</strong></p><p><em><strong>Keywords</strong><strong> - </strong>CPPB, Halal Certificate, LPPOM MUI, Small and Medium Enterprises (SMEs)</em></p>

scholarly journals STUDI AWAL RAJA AMPAT SEBAGAI MARINE ECO ARCHEO PARK: ANALISIS KUALITAS PERAIRAN DI KAWASAN SELAT DAMPIR

Jurnal Segara ◽  
2018 ◽  
Vol 14 (1) ◽  
Author(s):  
Agustin Rustam ◽  
Ira Dillenia ◽  
Rainer A Troa ◽  
Dietriech G Bengen
Keyword(s):  
Principal Component Analysis ◽  
Oxygen Demand ◽  
Principal Component ◽  
Component Analysis ◽  
Biological Oxygen Demand ◽  
Coral Triangle ◽  
Purposive Sampling

Selat Dampir yang berada di daerah Raja Ampat merupakan salah satu gugusan pulau-pulau kecil yang berada di ujung kepala burung pulau Papua bagian dari kawasan Coral Triangle Initiative (CTI) yang memiliki biodiversitas tinggi. Selain itu di lokasi ini terdapat situs arkeologi maritim, sehingga kawasan ini merupakan kawasan yang cocok sebagai kawasan marine eco archeo park. Perlu dilakukan penelitian awal keberadaan lokasi ini seperti kualitas perairan yang dilakukan pada tanggal 7 – 13  Mei 2014. Pengambilan data kualitas perairan dilakukan secara purposive sampling dengan menggunakan alat multiparameter secara in situ dan analisis sampel air di laboratorium. Parameter yang diukur yaitu salinitas, pH, turbiditas, padatan tersuspensi (TSS), Biological Oxygen Demand (BOD5), nitrat, tembaga dan nikel. Analisis data dilakukan secara deskriptif dan menggunakan analisis PCA (Principal Component Analysis). Hasil yang didapat untuk semua parameter masih sesuai dengan KMNLH no 51 tahun 2004, hanya nilai tembaga pada saat pengukuran tidak sesuai, walaupun secara keseluruhan perairan Selat  Dampir pada saat pengukuran masih dalam kondisi baik sebagai daerah taman nasional dan wisata bahari. Berdasarkan analisis PCA didapatkan parameter yang berperan kuat di lokasi adalah BOD5, pH, TSS dan kecerahan. Diperlukan penelitian lebih lanjut terkait lokasi penelitian sebagi situs maritim dan daerah wisata bahari di daerah konservasi dalam mewujudkan marine eco archeo park berbasis ekosistem lestari.

scholarly journals IDENTIFIKASI TIGA KELOMPOK IKAN BELIDA (Chitala lopis) DI SUNGAI TULANG BAWANG, KAMPAR, DAN KAPUAS DENGAN PENDEKATAN BIOMETRIK

2017 ◽  
Vol 13 (2) ◽  
pp. 87
Author(s):  
Mas Tri Djoko Sunarno
Keyword(s):  
Principal Component Analysis ◽  
Sampling Site ◽  
Principal Component ◽  
Component Analysis ◽  
Sampling Station ◽  
Type Specimens ◽  
Purposive Sampling ◽  
Starting Point ◽  
Mouth Width ◽  
Peduncle Length

Aktivitas penangkapan lebih (over fishing), penggunaan alat tangkap yang tidak ramah lingkungan, dan perubahan kondisi lingkungan perairan menyebabkan kelestarian ikan belida (Chitala lopis) menjadi terancam. Untuk itu, diperlukan upaya konservasi yang tepat untuk melestarikan ikan ini. Tahap awal adalah melalui penelitian morfologi. Tujuan penelitian adalah mengidentifikasi keragaman jenis ikan belida di Sungai Tulang Bawang (Lampung), Kampar (Riau), dan Kapuas (Kalimantan Barat) melalui variasi bentuk tubuh dan karakter morfologi pembeda. Penentuan lokasi pengambilan contoh dilakukan secara purposive sampling. Untuk setiap spesies pengambilan contoh per lokasi berkisar antara 10 sampai dengan 30 spesimen. Contoh ditandai (tagging) dituliskan kode spesimen dan lokasi kemudian diawetkan dengan direndam larutan alkohol 75%. Pengukuran spesimen dengan digital kaliper di sisi tubuh sebelah kiri, pada 28 karakter morfologi. Data yang diperoleh distandarisasi, disajikan dalam % SL dan % HL yang merupakan subyek principal component analysis menggunakan Statistik 6.0. Tahap ke-2, menggunakan analysis diskriminan untuk mengisolasi ke tipe spesimen tadi menjadi kelompok yang terpisah, melihat karakter morfologi dominan (factor score coefficient) akhirnya hanya 1 karakter yang paling dominan. Terdapat 3 kelompok ikan belida yang memperlihatkan penampilan morfologi yang berbeda, dari ke-3 lokasi yang diamati. Pembeda ke-3 kelompok ikan belida di 3 sungai tersebut adalah peduncle length (tinggi punguk) (% HL) dan mouth width (lebar mulut) (% SL). Over fishing activities, implementation of unfriendly environmental gears and altered aquatic environment condition have endangered the feather fish (Chitala lopis). Therefore appropriate conservation efforts will be needed and research on morphology variance can be the starting point. The objective of research is to indentify the diversity of feather fish in Tulang Bawang (Lampung), Kampar (Riau), and Kapuas (Kalimantan Barat) rivers through body shape variations and it’s main morphology characters. Sampling station were chosen based on purposive sampling. Whatever possible, the number of samples range between 10 to 30 in every station sampling. Samples were tagged with specimen code and location, and then preserve using alcohol 75%. Measurements were made manually using dial calipers correct to tenth milimetre. Measurements were made on the left side of body, 28 point to point measurements. These characters were standardized, perform in % SL and % HL subject to principal component analysis using Statistica 6.0. Futher analysis using discriminant analysis to isolate 3 type specimens, find out the dominant characters, and finally see the most dominance characters. There are 3 groups of feather fish’s that performed different morphology characters from the sampling site, where as peduncle length (% HL) and mouth width (% SL) were the dominance characters.

scholarly journals Variability in size and shape in muscovy duck with age: Principal component analysis

2014 ◽  
Vol 30 (1) ◽  
pp. 125-136 ◽  
Author(s):  
D.M. Ogah ◽  
M. Kabir
Keyword(s):  
Principal Component Analysis ◽  
Principal Components ◽  
Principal Component ◽  
Component Analysis ◽  
The Body ◽  
Dependence Structure ◽  
Muscovy Duck ◽  
Body Measurements ◽  
Male And Female ◽  
Size And Shape

Body weight and six linear body measurements, body length (BL), breast circumference (BCC), thigh length (TL), shank length (SL), total leg length (TLL) and wing length were recorded on 150 male and female muscovy ducklings and evaluated at 3, 5, 10, 15 and 20 weeks of age. Principal component analysis was used to study the dependence structure among the body measurements and to quantify sex differences in morphometric size and shape variations during growth. The first principal components at each of the five ages in both sexes accounted between 71.54 to 92.95% of the variation in the seven measurements and provided a linear function of size with nearly equal emphasis on all traits. The second principal components in all cases also accounted for between 6.7 to 16.17% of the variations in the dependence structure of the system in the variables as shape, the coefficient for the PCs at various ages were sex dependent with males showing higher variability because of spontaneous increase in size and shape than females. Contribution of the general size factor to the total variance increase with age in both male and female ducklings, while shape factor tend to be stable in males and inconsistent in females.

scholarly journals KAJIAN KUALITAS PERAIRAN UNTUK BUDIDAYA LAUT DI TELUK SALEH, KABUPATEN DOMPU

Jurnal Segara ◽  
2018 ◽  
Vol 14 (1) ◽  
Author(s):  
Yulius Yulius ◽  
Aisyah Aisyah ◽  
Joko Prihantono ◽  
Dino Gunawan
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Purposive Sampling

Teluk Saleh terletak di sebelah timur laut Pulau Sumbawa, Nusa Tenggara Barat (NTB). Secara administratif, Teluk Saleh berada di dua kabupaten, yaitu Kabupaten Sumbawa dan Kabupaten Dompu. Teluk Saleh merupakan pusat kegiatan perekonomian laut yang dimanfaatkan sebagai lahan budidaya laut seperti budidaya rumput laut dan budidaya keramba jaring apung (KJA). Penelitian ini dilakukan pada tanggal 19 – 25 Mei 2016 di perairan Teluk Saleh, Kabupaten Dompu, NTB. Tujuan penelitian ini adalah untuk memperoleh variabilitas parameter kualitas air untuk budidaya laut. Pengambilan data kualitas perairan dilakukan secara purposive sampling dengan menggunakan alat multiparameter WQC-24. Parameter yang diukur yaitu parameter fisika; kecepatan arus, padatan tersuspensi (TSS), padatan terlarut (TDS), kecerahan, kekeruhan, dan suhu. Parameter kimia; kebutuhan oksigen biologis (BOD), oksigen terlarut (DO), derajat keasaman (pH), kadar amonia, dan unsur hara (Nitrat-NO3, Fosfat PO4 dan Klorofil-a). Analisis data dilakukan secara deskriptif menggunakan analisis PCA (Principal Component Analysis). Hasil analisis data menunjukan bahwa suhu, salinitas, DO, dan pH berada pada ambang normal antara 25 - 31 oC, 32 – 34 ppt, 5mg/l dan 8, yang artinya bahwa perairan di daerah penelitian secara umum tergolong perairan dengan produktifitas yang tinggi. Terdapat beberapa parameter yang masih melebihi baku mutu untuk budidaya laut yaitu parameter fosfat dan nitrat. Nilai konsentrasi nitrat kurang dari 0.1mg/l diduga sebagai akibat dari aktivitas perekonomian masyarakat di sekitar muara sungai yang membuang limbah ke perairan. Berdasarkan analisa PCA didapatkan parameter yang berperan kuat di lokasi adalah arus dan TSS.

scholarly journals Principal component analysis of the exterior traits in dairy cows

2017 ◽  
Vol 19 (79) ◽  
Author(s):  
S. Kramarenko ◽  
N. Kuzmicheva ◽  
A. Kramarenko
Keyword(s):  
Principal Component Analysis ◽  
Dairy Cows ◽  
Principal Component ◽  
Component Analysis ◽  
The Body ◽  
Chest Circumference ◽  
State Enterprise ◽  
Body Measurements ◽  
Generalized Variance ◽  
Diagonal Length

The present study was undertaken to study the relationship between different body measurements and to develop unobservable factors (latent) to define which of these measurements best represent body conformation in the dairy cows. Biometrical observations were recorded on 109 Red Steppe dairy cows randomly selected from State Enterprise «Breeding reproducer «Stepove» (Mykolayiv region, Ukraine) during the 2001–2014. Principal Component Analysis (PCA) was used to account for the maximum portion of variation present in the original set of variables (body traits in cow) with a minimum number of composite variables through STATISTICA software. Most of the pairwise phenotypic correlations among the exterior traits in dairy cows were positive and significant. The Pearson’s correlation coefficients of the body measurements ranged from 0.215 (chest depth – cannon circumference) to 0.889 (height at withers – rump height). In factor solution of the Principal Component Analysis, two (latent) which explained 48.5% of the generalized variance were extracted. The first principal component (PC1) explained general body confirmation and explained 33.5% variation. It was represented by significant positive loading for height at withers, rump height, diagonal length from point of shoulder to pin bone, chest depth, chest circumference etc.). The second principal component (PC2) accounted for an additional 15.0% of the generalized variance and was interpreted as an indicator of body shape (e.g., endomorphic vs. ectomorphic). It was represented by significant negative loadings for height at withers, rump height, diagonal length from point of shoulder to pin bone, but significant positive loadings for chest width, chest depth, chest circumference and cannon circumference. The study also revealed that factors extracted from the present investigation could be used in breeding programs of the dairy cattle.

scholarly journals Assessment of body weight and morphological traits of two breed of grower pigs using principal component analysis

2021 ◽  
Vol 48 (5) ◽  
pp. 1-11
Author(s):  
P.O. Akporhuarho ◽  
O. Iriakpe
Keyword(s):  
Principal Component Analysis ◽  
Body Weight ◽  
Body Length ◽  
Principal Component ◽  
Component Analysis ◽  
The Body ◽  
Head Length ◽  
Large White ◽  
Poids Corporel ◽  
The Mean

The study aimed at explaining objectively the relationship between morphologic traits of two breeds of pigs (Large-white and Duroc) using principal component analysis to determine the body size of grower pigs of two different breeds with a view of identifying components that best define body conformation. Body weight and five biometric variables namely head length, body length, body girth, ham length and ear length. The descriptive statistics showed that the mean body weight of Large-white was 13.14kg while the body measurements were 24.61cm, 71.35cm, 65.12cm, 43.13cm and 21.94cm for head length, body length, body girth, ham length and ear length respectively at 5 – 24 weeks of age. The mean body weight of Duroc was 12.87kg while the body measurements were 23.70cm, 57.93cm, 47.93cm, 22.90cm, 19.26cm for head length, body length, body girth, ham length and ear length respectively. The coefficient of correlation ranges from 0.08-0.424 and 0.01-0.402 for Large-white and Duroc respectively. The association between and were the highest for Duroc, body length r=0.402 and Large-white, body girth 0.424. Two components were identified for Large-white while those of Duroc were three components. The ratios of variance were 53.55 and 71.07% for Large-white and Duroc, respectively. The first factor in each case accounted for the biggest percentage of the total variation, and was designated the general size, the other factors (indices of body shape) offer forms of variation independent of the general size. The principal component based regression models which were chosen for selecting animals for optimal balance accounted for 58 and 76% of the variation in the body weight for Large-white and Duroc respectively. The study concluded that the use of principal component analysis techniques tends to explore the interdependence in the original five parameters measured: head length, body length, body girth, ham length and ear length of Large-white and Duroc     L'étude explique objectivement la relation entre les traits morphologiques de deux races de porcs (gros blanc et de Duroc) à l'aide d'une analyse de composants principaux afin de déterminer la taille du corps des porcs de producteurs de deux races différentes en vue d'identifier les composants qui définissent le mieux la conformation corporelle. Poids corporel et cinq variables biométriques, nommément longueur de la tête, longueur du corps, circonférence du corps, longueur du jambon et longueur de l'oreille. Les statistiques descriptives ont montré que le poids corporel moyen de gros blanc était de 13,14 kg tandis que les mesures du corps étaient de 24,61 cm, 71,35 cm, 65,12 cm, 43,13 cm et 21,94 cm pour la longueur de la tête, la longueur du corps, la circonférence du corps, la longueur du jambon et la longueur de l'oreille respectivement à 5 - 24 semaines. Le poids corporel moyen de Duroc était de 12,87 kg tandis que les mesures du corps étaient de 23,70 cm, 57,93 cm, 47,93 cm, 22,90 cm, 19,26 cm pour la longueur de la tête, la longueur du corps, la circonférence du corps, la longueur du jambon et la longueur de l'oreille respectivement. Le coefficient de corrélation varie de 0,08 à 0,424 et de 0,01 à 0,402 pour les gros blancs et Duroc respectivement. L'association entre et étaient les plus élevées pour Duroc, la longueur du corps R = 0,402 et de gros blancs, la circonférence du corps 0,424. Deux composants ont été identifiés pour les gros blancs tandis que ceux de Duroc étaient trois composants. Les ratios de variance étaient respectivement de 53,55 et 71,07% pour les gros blancs et Duroc. Le premier facteur de chaque cas représentait le plus gros pourcentage de la variation totale et a été désigné la taille générale, les autres facteurs (indices de la forme du corps) offrent des formes de variation indépendantes de la taille générale. Les principaux modèles de régression basés sur les composants choisis pour sélectionner des animaux pour un solde optimal représentaient 58 et 76% de la variation du poids corporel pour les grands blancs et Duroc respectivement. L'étude a conclu que l'utilisation de techniques d'analyse des composants principaux a tendance à explorer l'interdépendance dans les cinq paramètres d'origines mesurées: longueur de la tête, longueur du corps, circonférence corporelle, longueur du jambon et longueur de l'oreille de grosse blanc et de Duroc

scholarly journals ANALISIS FAKTOR UTAMA PENENTU HARGA SAHAM PADA SEKTOR PERTAMBANGAN MENGGUNAKAN METODE PRINCIPAL COMPONENT ANALYSIS

2020 ◽  
Vol 4 (8) ◽  
pp. 1183-1195
Author(s):  
Tiara Indah Sukmasari ◽  
Brady Rikumahu
Keyword(s):  
Principal Component Analysis ◽  
Time Series ◽  
Principal Component ◽  
Component Analysis ◽  
Purposive Sampling

Dalam investasi, para stakeholder mengharapkan keuntungan, sehingga investor dan perusahaan perlu memperhatikan faktor-faktor yang menjadi penentu harga saham. Tujuan dari penelitian ini adalah untuk mengetahui faktor penentu utama yang mempengaruhi harga saham pada sektor pertambangan.  Pada penelitian ini menggunakan 20 variabel yang berpengaruh terhadap harga saham yang akan diklasifikasikan menjadi beberapa faktor utama penentu harga saham pada perusahaan terkait. Jenis penelitian ini yaitu kuantitatif dengan menggunakan metode Principal Component Analysis (PCA) dengan tidak mengintervensi data dan dimensi waktu penelitian time series. Teknik pengambilan sampel pada penelitian ini yaitu purposive sampling dan diperoleh lima perusahaan yang memiliki kapitalisasi pasar yang tinggi. Hasil dari penelitian ini yaitu terdapat variabel-variabel yang terkandung dalam faktor utama sebagai penentu harga saham pada PT. Aneka Tambang, Tbk, PT. Bayan Resource, Tbk, PT. Vale Indonesia, Tbk, PT. Indo Tambangraya Megah, Tbk dan PT. Medco Energi Internasional, Tbk.

Morphological structuring using principal component analysis of Rampur-Bushair sheep under transhumance production in western Himalayan region, India

2017 ◽  
Author(s):  
Varun Sankhyan ◽  
Y. P. Thakur ◽  
Sanjeet Katoch ◽  
P. K. Dogra ◽  
Rakesh Thakur
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
The Body ◽  
Adult Sheep ◽  
Body Conformation ◽  
Western Himalayan Region ◽  
Body Weights ◽  
Correlated Variable ◽  
Sufficient Reduction

Principal component analysis (PCA) was employed on 12 biometric traits of Rampur-Bushair sheep of Himachal Pradesh. Morphological and biometrical observations were recorded on 162 young and 566 adult animals. Multivariate statistics and principal component analysis revealed that body measurements except for peripheral traits were mostly positively and significantly correlated. The correlation among conformation traits ranged from -0.08 to 0.79 and “0.18 to 0.71 in young and adult sheep respectively. Three and four factors were extracted in young and adult sheep respectively, which accounted for 57% and 61% of variation. The principal component extracted contributed effectively to explain general body conformation. The regression analysis suggested that use of principal component was more appropriate than the use of original correlated variable in estimating body weights. Therefore, factor extracted could be helpful in breeding programme with sufficient reduction in the number of biometric traits to be recorded to explain the body conformation.

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