Indonesian Journal of Fundamental Sciences
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    90 research outputs found

    PENERAPAN MODEL REGRESI PADA DATA PERSENTASE KASUS BAYI LAHIR DENGAN BERAT BADAN RENDAH DI SULAWESI SELATAN

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    Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang signifikan berpengaruh terhadap persentase kasus bayi lahir dengan berat badan rendah di Sulawesi Selatan dengan menggunakan model regresi. Model regresi yang digunakan adalah model regresi klasik, dan model regresi spasial, yaitu model Spatial Autoregressive (SAR) dan model Spatial Error (SEM). Data yang digunakan dalam penelitian ini adalah data persentase kasus bayi lahir dengan berat badan rendah di 24 kab/kota provinsi Sulawesi Selatan tahun 2020 sebagai variabel respon, sementara variabel prediktor adalah persentase ibu hamil yang mengalami komplikasi kehamilan, persentase ibu hamil yang melakukan pemeriksaan rutin, dan persentase ibu hamil yang mengkonsumsi tablet tambah darah. Data ini diperoleh dari Dinas Kesehatan Provinsi Sulawesi Selatan. Berdasarkan hasil penerapan model regresi diperoleh bahwa tidak ada dependensi spasial antar wilayah baik dalam lag maupun errornya, sehingga model regresi klasik merupakan model terbaik pada persentase kasus bayi lahir dengan berat badan rendah di Provinsi Sulawesi Selatan dengan nilai koefisien determinasi sebesar 30%.  Adapun  faktor yang berpengaruh secara signifikan terhadap persentase kasus bayi lahir dengan berat badan rendah berdasarkan model regresi klasik adalah persentase ibu hamil yang melakukan pemeriksaan rutin, dan persentase ibu hamil yang mengkonsumsi tablet tambah darah

    RELATIONSHIP ANALYSIS OF SHRINKAGE LEVEL, MOISTURE CONTENT, AND DRYING RATE OF EUCHEUMA COTTONII SEAWEED IN VARIOUS DRYING TIME AND METHODS

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    In this study, shrinkage level, moisture content, and drying rate of Eucheuma cottonii seaweed were compared using various drying times and methods. Both sun and wind drying were employed, with drying times ranging from 0 to 240; 480; 720; and 960 minutes for each method. In Pajukukang Subdistrict, Bantaeng Regency, Eucheuma cottonii seaweed was harvested and dried using a variety of drying methods. The findings indicated that the Pajukukang Subdistrict was extremely hot, with the greatest temperatures and relative humidity readings of 52.4 oC and 47% RH (sun drying) and 32.6 oC and 55% RH (wind drying). The seaweed also changed after drying, going from a fresh brown color to a deeper brown color with an extremely dry physical shape (sun drying) and dry with white spots all over its surface (wind drying). Additionally, when drying time increases, shrinkage level increases. On a wet and dry basis, however, the converse occurred, where the two types of moisture content dropped as the drying time increased. When the drying time increases for both drying processes, a phenomena known as a falling rate period happens for the relationship between the drying rate and the moisture content on a dry basis

    Penambahan Ekstrak Daun Kelor (Moringa Oleifera) dalam Air Minum Terhadap Performa Broiler

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    Abstract. This study aims to determine the performance of broilers with the addition of Moringa (Moringa Oleifera) leaf extract. This study was conducted in April 2022,  Romang Lompoa Village, Bontomarannu District, Gowa Regency, South Sulawesi Province. This study was carried out by using a Completely Randomized Design (CRD) with 46 broilers with 4 treatments and 4 replications, each replication consisting of 3 chickens. Each experimental design sample used in this study is P0 = Without Moringa leaf extract (Control), P1 = Drinking water with 3% Moringa leaf extract in 1 liter of water, P2 = Drinking water with 6% Moringa leaf extract in 1 liter of water, P3 = Drinking water with 3% Moringa leaf extract in 1 liter of water. The variables observed were feed consumption, weight gain, feed conversion, and drinking water consumption. The results of this study indicate that broiler performance with adding Moringa oleifera leaf extract can affect feed consumption, weight gain, and drinking water consumption. There was a significant difference in feed consumption in treatment P1 with a concentration of 3% (30 ml), weight gain occurred in treatment P2 with a concentration of 6% (60 ml), and in drinking water consumption there was a significant difference in treatment P1 with a concentration of 3% ( 30 ml)

    Statistical Analysis and Prediction of Paddy Yield Using Neural Network

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    Abstract. This research uses boxplot, Anova and posthoc to analyse the effect of factors such as urine and phosphorous in rice paddy yield. Then an artificial neural network (ANN) is used to predict paddy yields based on those factors. ANN is also used to predict paddy yields from polybags based on the actual data of paddy yields from rice field.  A total of 25 data were used in this study where 70% data were used for training while 15% data each for testing and validation. We use the training model using data from rice field to predict paddy yield in polybags. STATISTICA software was used to run the neural networks. The predictive power of constructed neural networks was measured using accuracy measurement Mean Squared Error. The result shows that prediction can be made through neural network since the performance is very encouraging. Keywords: neural networks, paddy yield, prediction, statistical analysis

    Analisis Kualitas Nastar Dengan Penambahan Tepung Ubi Jalar Ungu Hasil Pengeringan Cabinet Dryer Suhu 60oc

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    Abstrak. Ubi jalar (Ipomoea batatas) merupakan salah satu tanaman palawija yang banyak terdapat di Indonesia. Ubi jalar ungu memiliki kandungan gizi yaitu 1,1% serat, 18,2% pati, 0,4% gula reduksi, 0,6% protein, 0,70 mg zat besi dan 20,1 mg provitamin C serta mengandung komponen bioaktif yaitu antosianin sebanyak 150,7 mg.  Pengolahan ubi jalar menjadi tepung dapat menghasilkan suatu bentuk olahan produk pangan yang berbeda sehingga mudah diaplikasikan dalam kehidupan sehari-hari. Tepung ini tepat digunakan untuk membuat cookies dan kue-kue kering. Dalam penelitian ini nastar akan dibuat dari tepung ubi jalar ungu. Karena ubi jalar ungu mempunyai pigmen warna ungu yang alami sehingga dapat mempercantik tampilan nastar. Oleh karena itu penelitian mengenai analisis kualitas nastar dengan penambahan tepung ubi jalar ungu hasil pengeringan cabinet dryer suhu 60oc perlu dilakukan. Hasil penelitian menunjukkan penambahan tepung ubi jalar ungu dengan berbagai perlakuan memberikan pengaruh nyata terhadap kadar air, kadar abu dan kadar lemak nastar ubi jalar ungu yang dihasilkan. Penambahan tepung ubi jalar ungu 100% merupakan perlakuan terbaik pada parameter kadar air, kadar abu dan kadar lemak dan penambahan tepung ubi jalar ungu memberikan pengaruh nyata terhadap mutu hedonik nastar yang dihasilkan. Penambahan tepung ubi jalar ungu 50% merupakan perlakuan yang disukai panelis, baik dari segi rasa, aroma dan tekstur. Sedangkan pada parameter warna panelis lebih menyukai perlakuan 75%

    Uji Fitokimia, Sitotoksik, dan Antikanker Ekstrak Makroalga Caulerpa Racemosa (Forsskal) J.Agardh. Terhadap Sel Hela

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    Abstrak. Penelitian ini bertujuan untuk menguji kandungan fitokimia dan sifat sitotoksik potensi antikanker dari berbagai ekstrak C. racemosa (Forsskal) J. Agardh. Metode yang digunakan meliputi; ekstrak C. racemosa (Forsskal) J. Agardh. diperoleh dengan cara maserasi dengan pelarut organik (n-heksana, etil asetat, aseton, dan etanol). Aktivitas sitotoksik dievaluasi dengan metode BSLT, dan selanjutnya terhadap sel kanker, yaitu sel Hela. Hasil penelitian menunjukkan bahwa Ekstrak n-heksana, etil asetat, aseton, dan etanol makroalga C. racemosa (Forsskal) J. Agardh toksik terhadap Artemia salina Leach. dengan kategori ekstrak heksan sangat toksik dan lanya kategori toksik dengan nilai LC50 berturut-turut 31,62; 46,77; 69,18; dan 389,05 mg/mL. Aktivitas terhadap sel kanker uji yaitu sel kanker Hela, ekstrak etil asetat dan aseton tergolong aktif dengan IC50 19,97 dan 19,60 mg/mL. Hasil penelitian menunjukkan potensi ekstrak untuk dikembangkan menjadi salah satu sumber fitofarmaka antikanker

    Analysis of the Chemical Content of Virgin Coconut Oil (VCO) with Raw Material of Coconut From Walennae Village, Sabbangparu District, Sengkang Regency

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    Coconut (Cocos nucifera L.) is a plant that provides many benefits to the rural economy. The part of coconut that has many benefits is the flesh of the fruit which can be taken from the coconut milk to make pure coconut oil which is commonly called Virgin Coconut Oil (VCO). In this study, the manufacture of VCO with the basic ingredients of old coconut from Walennae Village, Sabbangparu District, Sengkang Regency was carried out. This study aims to determine the characteristics of VCO in the form of peroxide number, Free Fatty Acid (FFA) number, and air content. The results showed the physical properties of the VCO produced, including the physical appearance of oil with a clear color, a distinctive aroma of oil, and no rancid smell. The results of the analysis of the chemical properties of the resulting VCO have a peroxidevalue of 1.5835 mg ek/kg; FFA number is 0.08% and water content is 0.18%

    Analisis Ripple Voltage pada Rangkaian Half-Wave Rectifier dan Full-Wave Rectifier Menggunakan Kombinasi Filter Kapasitor dan Resistor

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    The aim of this research is to investigate and analyze the ripple voltage in half wave and full wave rectifier circuits with a focus on the use of a combination of capacitor and resistor filters. This research is experimental research using Circuit Wizard. The tools and materials used include CT transformers, diodes, resistors, capacitors, multimeters, alternating power sources, and oscilloscopes. The research process begins by designing and implementing a circuit in the Circuit Wizard simulator according to the concept of half wave and full wave rectification with capacitor and resistor filters. The research results show that to produce a small ripple voltage, use large capacitance and resistance values. The best ripple voltage value produced is 0.6 V when using a 150 mF capacitor or 1000 Ohm resistor

    Perbandingan Metode Klasifikasi Maximum Likelihood dan Support Vector Machine dalam Pemetaan Genangan Banjir (Studi Area: Kawasan Danau Tempe)

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    Abstrak. Penelitian ini bertujuan untuk mengetahui  potensi Citra Sentinel-1a menggunakan metode klasifikasi maximum likelihood dan metode klasifikasi support vector machine dalam mengindentifikasi genangan banjir  serta memban-dingkan ketelitian dalam pemetaan genangan banjir  di sekitar kawasan Danau Tempe. Untuk mencapai tujuan tersebut telah digunakan data citra sentinel-1A dengan akuisisi 3 Maret 2018 (sebelum banjir) dan 26 Mei 2018 (pada saat banjir). Data tersebut diambil, diolah, dan dianalisis di Lembaga Penerbangan dan Antariksa Nasional (LAPAN) kemudian mengecek dan mencocokkan kembali  data di lapangan. Data yang diperoleh diolah melaui tahap pengolahan awal interpretasi citra sentinel adalah Preprocessing data Sentinel-1A dengan menggunakan perangkat lunak SNAP 7.0.  Selanjutnya menggabungkan citra pre-flood dan post-flood menggunakan stack tools di software SNAP untuk menyatukan kedua citra tersebut menjadi satu citra. Citra hasil stacking selanjutnya dikomposit ke RGB, selanjutnya digunakan dua metode klasifikasi terbimbing yaitu maximum likelihood dan support vector machine. Hasil penelitian yang diperoleh adalah metode Maximum Likelihood dan Support Vector Machine (SVM) berpotensi mengidentifikasi genangan banjir dengan    nilai akurasi pemetaan genangan banjir pada metode  Support Vector Machine (SVM) lebih tinggi dibandingkan dengan metode Maximum Likelihood (MLC) dengan nilai akurasi metode SVM sebesar 50% dan  metode MLC sebesar 42.3%. Kata Kunci: Banjir, Citra Sentinel-1A, MLC, SV

    The Effect of Acid Treatment on Metal Oxide Content of South Sulawesi Natural Clay

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    Abstract. This study investigated the effect of adding acid on the metal oxide content of natural clay in Gowa Regency, South Sulawesi Province. The acid solutions used were sulfuric acid (H2SO4), hydrochloric acid (HCl), and nitric acid (HNO3) with a concentration of 3 M. The characterization of metal oxide content was carried out using XRF and morphological analysis of natural clay using SEM. The results showed that the impurity metal oxide content decreased after being treated with acid. The largest mass percent of silica alumina occurred in the HCl 3 M treatment with alumina mass percent of 20.27% and silica of 25.41%. The clay morphology looks different after being treated with acid for all types of acid solutions. The results of this study are expected to become recommendations for further research related to natural clay pretreatment both as a ceramic base material and as a catalyst support

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