bluuebunny/crossref_metadata_2025 huggingface dataset:
Jumlah Konsumsi Pakan, Efisiensi dan Laju Pertumbuhan Relatif Ikan Bawal (Colossoma macropomum) yang Diberi Pakan Buatan Berbahan Tepung Lemna minor Fermentasi
Authors: Manganang Yessi Ayu Putri , Mose Numisye Iske
Published: January 2020

Pakan merupakan faktor penting dalam kegiatan budidaya ikan secara intensif. Penggunaan Lemna minor sebagai bahan baku pakan karena mudah didapat dan mengandung nutrisi yang baik. Adanya kandungan serat yang tinggi pada Lemna minor sehingga sulit untuk dicerna dan memerlukan proses fermentasi.  Penelitian ini bertujuan untuk mengetahui pemanfaatan pakan tepung Lemna minor fermentasi terhadap pertumbuhan ikan bawal. Metode  Rancangan Acak Lengkap  (RAL) dengan 4 perlakuan dan 3 ulangan, terdiri dari A tanpa tepung Lemna minor fermentasi, B tepung Lemna minor fermentasi 10%, C tepung Lemna minor fermentasi 20% dan D tepung Lemna minor  fermentasi 30%. Data yang diamati yaitu jumlah konsumsi pakan (JKP), efisiensi pemanfaatan pakan (EPP), Laju pertumbuhan relatif (RGR) dan sintasan. Hasil menunjukkan bahwa perlakuan C (tepung Lemna minor fermentasi 20%) mampu menghasilkan rata-rata JKP sebesar 287,33 g, EPP sebesar 0,052%, RGR sebesar 0,090%/hari dan SR sebesar 100%Feed is an important factor in intensive fish aquaculture activities. Use Lemna minor as a feed raw material because it is easily available and contains good nutrition. The composition of high fiber in Lemna makes it difficult to digest and requires a fermentation process. This study aims to learn how to use Lemna fermentation flour on the growth of pomfret. Method used was completely randomiza design with 4 treatments and 3 replications, consisting of A without Lemna flour fermented, B Lemna flour fermented 10%, C Lemna flour 20% fermentation and D Lemna flour 30% fermentation. Interesting data are the amount of feed consumption, increased feed efficiency (EPP), relative growth rate (RGR) and survival rate. The results showed that the treatment of C (Lemna minor flour fermentation of 20%) was able to produce an average JKP of 287.33 g, EPP of 0.052%, RGR of 0.090%/day and SR of 100%
Profil Kualitas Air Pada Budidaya Udang Vaname (Litopenaeus vannamei) Sistem Bioflok Dengan Sumber Karbohidrat Gula Aren
Authors: Adipu Yulianty
Published: January 2020

Pengelolaan kualitas air apabila dikaitkan dengan kegiatan Budidaya tentunya menjadi faktor yang sangat perlu mendapatkan perhatian. Media budidaya dalam hal kualitas air sangat mempengaruhi produktifitas udang vaname . Tujuan penelitian ini yaitu mengetahui gambaran  kualitas air dalam budidaya udang sistem bioflok menggunakan gula aren sebagai sumber karbohidrat. Penelitian ini menggunakan rancangan acak lengkap dengan 3 perlakuan dan 3 kali ulangan. Perlakuan yang digunakan yaitu kontrol A (Tanpa campuran Fermentasi), Fermentasi B (campuran tepung ikan dan Gula aren), Fermentasi C (hanya menggunakan Gula aren). Parameter pengamatan terdiri dari 8 parameter kualitas air yaitu suhu, DO, pH, salinitas, nitrit. Nitrat, amoniak dan Total Suspended Solid. Hasil penelitian menunjukkan bahwa peran bioflok menggunakan sumber karbohidrat memberikan perubahan pada beberapa parameter kualitas menjadi lebih baik, dengan adanya fermentasi gula aren yang menghasilkan bakteri asam laktat juga berperan produktifitas udang vanameWater quality management when associated with Aquaculture activities is certainly a factor that needs attention. Media culture in terms of water quality greatly affects the productivity of vaname shrimp. The purpose of this study is to find out the picture of water quality in the biofloc shrimp culture using palm sugar as a source of carbohydrates. This study used a completely randomized design with 3 treatments and 3 replications. The treatments used controlled A (without a mixture of fermentation), fermentation B (a mixture of fish meal and palm sugar), fermentation C (only using palm sugar). Observation parameters consisted of 8 parameters of water quality namely temperature, DO, pH, salinity, nitrite. Nitrate, Ammonia and Total Suspended Solid. The results showed that the role of biofloc using carbohydrate sources gave changes to several quality parameters for the better, with the presence of palm sugar fermentation which produced lactic acid bacteria also played a role in vaname shrimp productivity
Uji Penggunaan PGPR (Plant Growth-Promoting Rhizobacteria) terhadap Pertumbuhan Vegetatif Tanaman Cabai Merah (capsicum Annuum L.)
Authors: Ollo Lidyanti , Siahaan Parluhutan , Kolondam Beivy
Published: January 2020

Penelitian ini bertujuan yang menguji Perbandingan pertumbuhan vegetatif tanaman cabai merah (capsicum Annuum L.) akibat Pemberian Komposisi PGPR (Plant Growth-Promoting Rhizobacteria) yang perbeda. Pertumbuhan tanaman diukur berdasarkan tinggi tanaman, jumlah daun, volume akar, berat basah dan berat kering tanaman. Hasil penelitian menujukkan bahwa PGPR dapat meningkatkan tinggi tanaman, jumlah daun, volume akar, berat basah dan berat kering tanaman cabe.Tinggi tanaman terbaik setelah diperlakuan selama 28 hari adalah dengan pemberian PGPR disertai dengan pemberian pupuk kandang dengan tinggi (24.44 cm), yang diikuti oleh pemberian PGPR + kompos dengan tinggi (22.04 cm), dan pemberian PGPR + NPK dengan tnggi tanaman 19.68 cm . Volume akar akan lebih tinggi bila diberikan PGPR yang ditambah dengan pupuk kandang , atau kompos maupun NPK, tetapi tdak berbeda hasilnya bila hanya diberikan PGPR saja. Jumlah daun dapat ditingkatkan bila diberikan PGPR yang ditambah dengan pupuk kandang, atau kompos maupun NPK. Pemberian PGPR + NPK tidak memberikan jumlah daun yang berbeda dengan pemberian PGPR saja.Berat basah akan meningkat bila diberikan PGPR saja maupun ditambah dengan pemberian pupuk kandang, atau kompos maupun NPK. PGPR ditambah dengan pupuk kandang maupun kompos memberikan dampak yang sama terhadap berat basah.Berat kering akan meningkat bila diberikan PGPR saja maupun ditambah dengan pemberian pupuk kandang, atau kompos maupun NPK. PGPR ditambah dengan pupuk kandang maupun kompos memberikan dampak yang sama terhadap berat basahThis study aimed to examine the comparison of vegetative growth of red chili (capsicum Annuum L.) due to the administration of different PGPR (Plant Growth-Promoting Rhizobacteria) Composition. Plant growth was measured based on plant height, number of leaves, root volume, wet weight and dry weight of the plant. The results showed that PGPR can increase plant height, number of leaves, root volume, wet weight and dry weight of chilli plants. The best plant height after being treated for 28 days is by giving PGPR accompanied by administering manure with height (24.44 cm), followed by by giving PGPR + compost with a height (22.04 cm), and giving PGPR + NPK with a plant height of 19.68 cm. Root volume will be higher if given PGPR added with manure, or compost or NPK, but the results are not different if only given PGPR. The number of leaves can be increased if given PGPR added with manure, or compost or NPK. Provision of PGPR + NPK does not provide a number of leaves that are different from the administration of PGPR alone. Wet weight increased when given PGPR alone or added with manure, or compost or NPK. PGPR added with manure or compost gives the same effect on wet weight. Dry weight will increase if given PGPR alone or added with manure, or compost or NPK. PGPR coupled with manure or compost has the same effect on wet weight
Keanekaragaman Fauna Tanah pada Agroekosistem Tanaman Tomat (Solanum lycopersicum L.) di Desa Raringis, Langowan Barat, Minahasa, Sulawesi Utara
Authors: Sumarauw Ivane K. , Siahaan Ratna , Baideng Eva L.
Published: January 2020

Fauna tanah menggunakan tanah sebagai habitat alami untuk keberlanjutan hidupnya. Aktivitas pertanian yang menggunakan pupuk dan pestisida dapat menjadi penyebab penurunan keanekaragaman fauna tanah. Penelitian ini bertujuan untuk menganalisis keanekaragaman fauna tanah pada agroekosistem tanaman tomat (Solanum lycopersicum L.) di Desa Raringis, Langowan Barat, Minahasa, Sulawesi Utara. Pengambilan sampel dilakukan di lima stasiun pada Desember 2018 – Januari 2019 dengan metode purposive sampling dengan pitfall trap. Fauna tanah yang ditemukan di agroekosistem tanaman tomat terdiri atas tiga filum, delapan kelas, 19 bangsa, dan 36 suku. Total fauna tanah sejumlah 41 taksa.  Keanekaragaman fauna tanah berdasarkan Indeks Shannon- Wiener (H’) berturut-turut dari Stasiun I, II, III, IV dan V yaitu 1,93; 2,02, 2,04, 1,97 dan 2,06. Indeks keanakeragaman fauna tanah di Desa Raringis tergolong sedang (H’: 2,00). Keanekaragaman fauna tanah dipengaruhi oleh faktor-faktor lingkungan misalnya suhu tanah, curah hujan, penggunaan pupuk kimia, pestisida sintetik dan pola penanaman tomat secara monokulturSoil fauna occupy soil as their natural habitat for their sustainability. Agricultural activities that use fertilizers and pesticides can cause decrease in the diversity of soil fauna. This study aimed to analyze the diversity of soil fauna in the tomato agroecosystem (Solanum lycopersicum L.) in Raringis Village, West Langowan, Minahasa, North Sulawesi. The soil fauna sampling was conducted at five stations in December 2018 - January 2019 with a purposive sampling method with pitfall traps. Soil fauna found in the agroecosystem of tomato plants consisted of three phyla, eight classes, 19 orders, and 36 families. Total soil fauna tanah was 41 taxa. The diversity of soil fauna based on the Shannon-Wiener Index (H ') respectively from Stations I, II, III, IV and V were 1.93; 2.02; 2.04; 1.97 and 2.06. The index of diversity of soil fauna in Raringis Village was classified as moderate (H ': 2.00). The diversity of soil fauna was influenced by environmental factors such as soil temperature, rainfall, chemical fertilizers, synthetic pesticides and tomato monoculture farming
Performans Sapi Yang Diberi Panicum maximum Teramoniasi dan Suplementasi UGB
Authors: Kaunang C. L. , Sane S. , Pudjihastuti E.
Published: January 2020

Pakan lokal berupa hijauan Panicum maximum (rumput Benggala) dan jerami jagung merupakan hijauan yang tersedia sepanjang tahun dalam jumlah yang cukup besar tetapi mempunyai kendala, yaitu rendahnya nilai nutrisi dan nilai biologisnya. Dengan teknologi amoniasi diharapkan pakan hijauan tersebut dapat meningkat kualitasnya. Tujuan penelitian ini adalah untuk mempelajari performans sapi yang diberi UGB, rumput Benggala dan jerami jagung yang teramoniasi. Penelitian ini dilaksanakan di Kelurahan Paniki I Manado, selama 3 bulan. Ternak yang digunakan terdiri dari 16 ekor sapi jantan lokal. Hijauan yang digunakan yaitu rumput Benggala dan jerami jagung. Pakan tambahan UGB diberikan secara konstan sebanyak 500 gr/ekor/hari dan air minum diberikan secara ad libitum. Ransum perlakuan yang diberikan : R0; R1; R2; R3. Variable yang diamati yaitu konsumsi bahan kering, pertambahan bobot badan harian dan status metabolis darah. Data yang diperoleh dianalisis menggunakan RAK. Kesimpulan yang diperoleh dari penelitian ini adalah perlakuan R3 memberikan performans yang optimal pada sapi yang diberi Panicum maximum (rumput Benggala) dan suplementasi UGBLocal feed in the form of forage Panicum maximum (Bengal grass) and corn straw is a forage that is available throughout the year in large enough quantities but has obstacles, namely the low nutritional value and biological value. With ammoniation technology, it is expected that the forage feed can improve its quality. The purpose of this study was to observe the performance of cows fed with UGBs, Bengal grass and ammoniated corn straw. This research was conducted in Paniki I Village Manado, for 3 months. The cattle used consisted of 16 local bulls. The enclosures used are 2 x 3 x 3m individual cages. Forages used are Bengal grass and corn straw. Additional UGB feed is constantly given as much as 500 gr / head / day and drinking water is given ad libitum. Ration of treatment given: R0; R1;R2. Variables observed were dry matter consumption, daily weight gain and blood metabolic status. The data obtained were analyzed using RCBD with 4 treatments and 4 replications. The conclusion obtained from this study is that R3 treatment provides optimal performance in cattle fed Panicum maximum (Bengal grass) and UGB supplementation
Karakteristik Fisiko Kimia Dan Polisiklik Aromatik Hidrokarbon Ikan Julung (Hemirhampus marginatus) Asap Cair Cangkang Pala
Authors: Salindeho Netty , Pandey Engel
Published: January 2020

Tujuan penelitian yaitu: menentukan konsentrasi dan lama perendaman dalam larutan asap cair yang optimum melalui percobaan untuk mengaplikasikan asap cair hasil pirolisis cangkang pala pada pengawetan ikan julung. Hasil penelitian menunjukkan bahwa nilai Aw tertinggi pada  perendaman 90 menit dengan konsentrasi larutan asap cair 10 %. Kadar air tertinggi pada lama perendaman  90 menit dengan konsentrasi larutan asap cair  15 % yaitu 26,34 %. dan kadar protein tertinggi yaitu 54,23 % pada lama perendaman 30 menit pada konsentrasi larutan asap cair 10 % kadar lemak terendah 1,21 % pada lama perendaman 90 menit pada konsentrasi asap cair 5 % dan kadar abu terendah pada lama perendaman 60  menit dengan konsentrasi asap cair 10 % yaitu 1,12 %. Hasil penelitian julung asap cair pada lama perendaman 30 dengan konsentrasi 5 %, 10 % dan 15 % menunjukkan bahwa kandungan total PAH paling rendah dihasilkan pada konsentrasi larutan asap cair 5 % di ikuti oleh pengasapan cair dengan konsentrasi larutan asap cair 10 %, dan 15 %The purpose of this research is to determine the optimum concentration and soaking time in a liquid smoke solution through an experiment to apply liquid smoke from the pyrolysis of nutmeg shells to the preservation of julung fish. The results showed that the highest Aw value at 90 minutes immersion with a liquid smoke concentration of 10%. The highest water content in the 90 minute immersion with a liquid smoke concentration of 15% is 26.34%. and the highest protein content is 54.23% at 30 minutes soaking time at the concentration of liquid smoke solution 10% the lowest fat content is 1.21% at 90 minutes soaking time at 5% liquid smoke concentration and the lowest ash content at 60 minutes soaking time with concentration liquid smoke 10% which is 1.12%. The results of the liquid smoke rolls in the immersion period 30 with concentrations of 5%, 10% and 15% showed that the lowest total PAH content was produced at a concentration of 5% liquid smoke solution followed by liquid fuming with a concentration of liquid smoke solution of 10%, and 15%
Analisis Kandungan Merkuri Pada Tanah Dan Umbi Tanaman Ubi Kayu (Manihot Esculenta Crantz) Di Daerah Pertambangan Desa Soyowan, Minahasa Tenggara
Authors: Ali Ifanayanti , Rondonuwu Sendy B. , Dapas Farha N. J.
Published: January 2020

Merkuri merupakan salah satu logam berat berbahaya diantara logam berat lainya seperti Timbal (Pb), Arsenik (As), Kadmium (Cd), Kromium (Cr) dan Nikel (Ni). Merkuri memiliki sifat beracun yang sangat kuat diketahui dapat terakumulasi dan tetap berada di dalam tubuh mahluk hidup dalam jangka waktu yang lama sebagai racun yang terakumukasi. Penelitian ini di lakukan untuk mengetahui kandungan merkuri pada tanah dan Umbi tanaman ubi kayu (Manihot esculenta Crantz) di daerah pertambangan Desa Soyowan Minahasa Tenggara. Dengan menggunakan Metode Purposive Random Sampling. Pengambilan sampel terbagi atas tiga stasiun dengan tiga kali ulangan. Hasil penelitian menunjukkan bahwa kandungan merkuri dalam tanah tidak terdeteksi oleh alat AAS (Atomic ansorption Spectrometry) karena kandungan merkuri pada tanah terlampau kecil, sedangkan pada sampel umbi tanaman ubi kayu memiliki kandungan merkuri yaitu 0,1414 ppm. Konsentrasi merkuri (Hg) melebihi ambang batas sehingga tanaman pada Stasiun II tidak layak lagi untuk dikonsumsiMercury is one of the heavy metals containing other heavy metals such as Lead (Pb), Arsenic (As), Cadmium (Cd), Chromium (Cr) and Nickel (Ni). Mercury has very strong and accountable characteristics and remains in living things for a long time as an educated conversation. Manihot esculenta Crantz in the Mining Area of Soyowan Village, Southeast Minahasa. By using the Purposive Random Sampling method, sampling was divided into three stations with three replications. The results showed that the mercury content in the soil could not be found by the AAS tool because the mercury content in the soil was too small, whereas the tuber samples of cassava plants had a mercury content of 0.1414 ppm. excessive mercury (Hg)  concentration threshold so plants at Station II are no longer suitable for consumption
Penerapan Metode Transesterifikasi Subkritis Mendekati Isokorik dalam Pembuatan Biodiesel
Authors: Lametige Jil Astriko , Sangian Hanny Frans , Tanauma Adey , Rombang Joshua
Published: January 2020

Penelitian ini bertujuan untuk membuat biodiesel dengan bahan baku minyak kelapa dan minyak sawit dengan mencampurkan metanol sebagai pelarut dan KOH (kalium hidroksida) sebagai katalis. Proses transesteriﬁkasi berarti mengambil molekul trigliserida atau asam lemak kompleks, menetralkan asam lemak bebas dengan menambahkan metil alkohol menjadi metil ester. Tahapan pertama yaitu membuat biodiesel dengan volume keseluruhan campuran bahan baku, pelarut dan katalis yaitu 575 ml dan 550 ml dengan tekanan maksimum 15 bar dan suhu maksimum 150oC selama satu jam. Tahapan berikutnya menghitung yield yang diperoleh dari biodiesel yang dihasilkan kemudian dilakukan uji Gas Chromatography Mass Spectrometry dan selanjutnya dilakukan uji parameter bahan bakar. Hasil menunjukkan biodiesel dari minyak kelapa memperoleh yield 98,82% lebih besar daripada minyak sawit yang hanya memperoleh yield 92,38%, dan ditemukan komposisi C terbesar pada biodiesel dari minyak kelapa dengan volume keseluruhan campuran bahan 575 ml yaitu C15H30O2 dengan luas area 27.10% sedangkan komposisi terbesar untuk biodiesel dengan volume keseluruhan campuran bahan 550 ml adalah C15H30O2 dengan luas area 24.04%. Untuk biodiesel dari minyak sawit komposisi C terbesar yang terbentuk pada volume keseluruhan campuran bahan 575 ml yaitu C19H36O2 dengan luas area 40.95% dan untuk volume keseluruhan campuran bahan 550 ml komposisi terbesar C19H36O2 dengan luas area 40.88%.This study aims to make biodiesel with raw materials of coconut oil and palm oil by mixing methanol as a solvent and KOH (kalium hydroxide) as a catalyst. The process of transesterification means taking triglyceride molecules or complex fatty acids, neutralizing free fatty acids by adding methyl alcohol to methyl esters. The first stage is making biodiesel with an overall volume of a mixture of raw materials, solvents and catalysts of 575 ml and 550 ml with a maximum pressure of 15 bar and a maximum temperature of 150oC for one hour. The next stage is calculating the yield obtained from the biodiesel produced then the Gas Chromatography Mass Spectrometry test and then to test the fuel parameters. The results show biodiesel from coconut oil yields 98.82% greater than palm oil which only yields 92.38% yield, and found the largest composition of C in biodiesel from coconut oil with a total volume of 575 ml mixture material, namely C15H30O2 with an area of 27.10% while the largest composition for biodiesel with an overall volume of a mixture of 550 ml material is C15H30O2 with an area of 24.04%. For biodiesel from composition C largest palm oil that is formed in the overall volume of the mixture of 575 ml, namely C19H36O2 with an area of 40.95% and for the overall volume of the mixture of 550 ml the largest composition of C19H36O2 with an area of 40.88%.
Graphene Oxide Embedded In Polymer Film As Saturable Absorber For Q-switched Erbium-doped Fiber Laser
Authors: S. W. Harun M. Yasin, N. A. Aziz,
Published: January 2020

Abstract – We demonstrate a Q-switched Erbium-doped fiber laser (EDFL) using a newly developed Graphene Oxide (GO) based saturable absorber (SA). The SA was fabricated by embedding a GO material, which was obtained through chemical oxidation of graphite into polyvinyl alcohol (PVA) film. A small piece of the film was sandwiched between two fiber ferrules via a fiber adapter and incorporated in an EDFL cavity for generating a stable Q-switching pulse train. The EDFL operates at 1560.5 nm with a pump power threshold of 16.88 mW while a pulse repetition rate was tunable from 32.45 to 81.7 kHz, and the smallest pulse-width of 5.67 μs. The Q-switching pulse shows no spectral modulation with a peak-to-pedestal ratio of 61.76 dB indicating the high stability of the laser. These results show that the GO has a great potential to be used for pulsed laser applications.Key words: graphene oxide, passive saturable absorber, Q-switching, EDFL, GO
MENANGANI ANAK DOWN SYNDROME MELALUI PENDIDIKAN KARAKTER QURANI DI SDLBN 2 AMUNTAI
Authors: Husin Husin , Ramadhani Dony Ahmad , Mada Miluejueng Katmiani Putri
Published: January 2020

Meningkatnya jumlah penyandang down syndrome di Indonesia yang mencapai sekitar 300 ribu lebih merupakan persoalan yang menjadi tanggung jawab bersama, bukan hanya bagian medis dan psikolog saja, seorang pendidik memeiliki peranan penting pula dalam persoalan ini. Anak-anak Down Syndrome cenderung hiperaktif, sulit berkonsenterasi dan tidak dapat mengatur pola makannya sendiri. Sejalan dengan permasalahan tersebut, pendidikan karakter Qurani turut memainkan peran untuk mengarahkan mereka menjadi manusia mandiri dan bermanfaat sesuai kemampuannya agar tidak menjadi beban dan sebaliknya merupakan anugerah yang diberikan Allah SWT. Pendidikan karakter Qurani di SDLBN 2 Amuntai melalui prinsip dasar layanan pendidikam anak berkebutuhan khusus, kedua melalui pembiasaan dan pembudayaan yang baik di sekolah, ketiga melalui keteladan, keempat melalui akhlak aplikatif dan kelima melalui kisah-kisah Islami
METODE DAN STRATEGI PEMBENTUKAN KARAKTER RELIGIUS YANG DITERAPKAN DI SDTQ-T AN NAJAH PONDOK PESANTREN CINDAI ALUS MARTAPURA.
Authors: Jannah Miftahul
Published: January 2020

Karakter Religius merupakan salah satu aspek kepribadian manusia yang tidak dapat berdiri sendiri, artinya terkait dengan aspek kepribadian dan harus dilatihkan pada anak-anak sedini mungkin agar tidak menghambat tugas-tugas perkembangan anak selanjutnya. kemampuan untuk religius tidak terbentuk dengan sendirinya. Kemampuan ini diperoleh dengan kemauan, dan dorongan dari orang lain termasuk dari seluruh guru, kepala sekolah, pengawas, bahkan komite sekolah harus memberi contoh dan menjadi suri tauladan dalam mempraktekkan indikator-indikator pendidikan karakter dalam perilaku sehari-hari. Sehingga dapat terciptanya pembentukan karakter peserta didik dan seluruh warga sekolah, sehingga pendidikan karakter tidak hanya dijadikan ajang pembelajaran, tetapi menjadi tanggung jawab semua warga sekolah untuk membina dan mengembangkan. Dalam penelitian ini akan melihat Bagaimana metode dan strategi pembentukan karakter religius yang diterapkan di SDTQ-T An Najah Pondok Pesantren Cindai Alus Martapura.

Tujuan dari penelitian ini adalah: Mendeskripsikan dan menganalisis (1)Metode pembentukan karakter religius yang diterapkan di SDTQ-T An Najah Pondok Pesantren Cindai Alus Martapura. (2)Strategi pembentukan karakter religius yang diterapkan di SDTQ-T An Najah Pondok Pesantren Cindai Alus Martapura.

Penelitian ini menggunakan pendekatan kualitatif dengan jenis penelitian studi kasus (study case). Teknik pengumpulan data yang digunakan adalah wawancara, observasi, dan dokumentasi. Data dianalisis seara kualitatif dengan model analisis Miles dan Huberman. Hasil Penelitian menunjukan (1) Metode pembentukan karakter religius yang diterapkan di SDTQ-T An Najah Pondok Pesantren Cindai Alus Martapura. ialah: menekankan pada metode keteladanan, metode pembiasaan, metode nasehat dan kisah-kisah, metode Metode Tsawâb (Hadiah) dan 'Iqâb (Hukuman) (2) Strategi pembentukan karakter religius yang diterapkan di SDTQ-T An Najah Pondok Pesantren Cindai Alus Martapura Menekankan pada kesadaran, keteladanan/Contoh, Kegiatan spontan, Teguran, Pengkondisian lingkungan, Kegiatan rutin, Disiplin yang terintegrasi

Kata Kunci: Metode, Strategi, Pembentukan Karakter Religius
Architectural Framework for Intelligent and Secure Aadhar Data Management Synchronized with both Offline and Online Transaction Systems
Authors:   Research Scholar, Department of CSE, Dr. AIT, Visvesvaraya Technological University (VTU), Belgaum, and Karnataka, India, Associate Prof, Department of CSE, K G Reddy College of Engineering & Technology, Hyderbad, Telangana-State, India, Dule* Chhaya S , N Dr. Nandini ,   Associate Professor, Dept of CSE, Dr. Ambedkar Institute of Technology, India,, K M Dr. Rajasekharaiah ,   Dean & Professor, Faculty of Information Technology, Amity Institute of Higher Eduction, Mauritius
Published: January 2020

The information of the citizens identity are reposited in the national database system that demands higher degree of security features in order to combat the privacy problems associated with it. The information retained within an identity of a citizen is highly valuable as well as sensitive as it is constructed by integrating various forms of biometric trails e.g. iris, fingerprint etc along with their personal details. Aadhar is one of such initiatives by Government of India by their “Unique Identification Authority of India (UIDAI) project” that generates 12-digit random number as unique identity. The Government of India is in progressive approach to integrate various social and security related applications to Aadhar in order to achieve identification-based service provisioning. In the recent news, Aadhar details have been reported to be encountered a serious security breach that endangered the private details of the Aadhar card holders. Therefore, a robust and efficient secure eco-system is required to keep national ID database secure. This chapter aims to describe novel framework for Aadhar data privacy and storage management by adopting efficient data blockage and transformation over cloud storage using statistical method based on data embedding by blocking and transformation.
An NLP Based Contrivance to Simplify Customer Interaction
Authors:   Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India., Dharaniya* Mrs.R. , Nanda M.Naveen ,   Department of Computer Science and Engineering, Bennett University, Greater Noida, India., R Ramasubramanian. ,   Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India.., R. Nitin. ,   Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India.., S Vaishnavi. ,   Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India..
Published: January 2020

An intelligent application is an instrumental driving force in retention and satisfaction of customers. Consertle would be one of the first banking applications in India that enables users to interact with an intelligent application through a chat bot that is specifically designed to understand, interpret and analyze user behavior so as to provide better and more efficient results. While chat bots itself are a new introduction to the Indian financial system, an intelligent chat bot enables customer to instant and more efficient query resolution.Currently, most banking applications are visual medium which requires customer to proceed through various levels of data entry and selection in order to get the desired response. It may be a query related to one’s account, transactions or information about the bank in general; but the process to get a satisfactory result is a relatively long and tedious process. It is notable that automation in the financial sector is largely primitive even after the outbreak of technologies such as AI, CV, ML, etc.Natural Language Processing and Machine Learning enables the creation of an automated system that takes in input in the form of voice and/or text, processes it and gives an intelligent response to the user which would be aimed at satisfying their current requirements along with the possible, predicted, immediate query that is likely to arise. The key component of application Consertle is the portable mobile application that upholds the chatbot, where NLP based speech to text conversion and interpretation takes place, thus production accurate results and also providing suggestions, by analyzing user behavior which is dependent upon many factors.
Optimizing the Process Parameters of Drilling on Aluminium Alloy 7075 using taguchi and Anova Techniques
Authors:   PG Student, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India., Ramesh* Bhonagiri , Bandhavi CH ,   Assistant Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India., subbiah Dr.Ram ,   Associate Professor, Mechanical Engg, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India., Sateesh Dr. N. ,   Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India.
Published: January 2020

In many material processing and manufacturing industries quality and productivity are two important requirements but these are more antithetical criteria in any machining operations. So, it is vital to optimize the productivity and quality simultaneously. The main objective of this paper is to optimize the process parameters of drilling operations such as cutting speed, feed, and point angle on aluminum alloy 7075. Al 7075 is one of the multifunctional materials in various applications. Taguchi is mostly used for data analysis and optimization of process parameters for getting maximum material removal rate and least surface roughness factor. Machining operations were conducted on CNC milling machine. The number of drilling experiments was performed on aluminum 7075 using HSS drill bit on CNC milling machine. The investigation of variance (ANOVA) was engaged to find the most notable control factors affecting the material removal rate & surface roughness. The conclusions of present work were drawn from several experimental trails; it was found that at the 9th experimental trail, point angle was most significant x factor for surface roughness and feed is the most affecting factor for material removal rate.
Intelligent System to Identify Unauthorized Automobiles using Internet of Things
Authors:   Department of CSE, Panimalar Institute of Technology, Chennai, TamilNadu, India., Karthik* S.Logesh , Mohanaprakash T. A. ,   Department of CSE, Panimalar Institute of Technology, Chennai, TamilNadu, India., Sheryl S.Annie ,   Department of CSE, Panimalar Institute of Technology, Chennai, TamilNadu, India., Geetha M. ,   Department of CSE, Panimalar Institute of Technology, Chennai, TamilNadu, India., Raja S. ,   Department of CSE, Panimalar Institute of Technology, Chennai, TamilNadu, India.
Published: January 2020

In cities vehicle checking and analysis is a prominent task. These tasks are accomplished by traffic policeman and include various manual works. We present a system to automate the existing task using the technologies Internet of things (IoT) and Artificial Intelligence (AI). The proposed system checks the details of the vehicle and isolates unauthorized automobiles, detects the overall traffic in a specific area, road damage analysis and automated fine collection and toll collection. This system is composed of a two module. Module one embedded with a unique code located in the vehicle and Module two is a scanning device in which the unique code is obtained and further processed in the receiving end using which other details of the vehicle is gathered from the cloud storage. This paper mainly focuses on multiple checking of vehicles using RFID wireless communication, OFDMA technique for numerous access and Artificial Intelligence to predict the traffic and road damage analysis. This system operates using radio frequency communication, and replaces manual task in vehicle invigilation process.
Modeling and Fuzzy Logic Control of the Doubly Fed Induction Generator used in Wind Power and Application to the Industrial Context with an Equivalent Photovoltaic System
Authors:   Laboratory of Energy & Electrical Systems, Superior National School of Electricity and Mechanical (ENSEM), Casablanca, Morocco., Ezzahra* Bounifli Fatima , Abdelhadi Elmoudden ,   Laboratory of Energy & Electrical Systems, Superior National School of Electricity and Mechanical (ENSEM), Casablanca, Morocco., Abdelhamid Hmidat ,   Laboratory Of Energy & Electrical Systems, Superior National School of Electricity and Mechanical (ENSEM), Casablanca, Morocco.
Published: January 2020

In this paper, we are first going to present two different renewable energy systems based on wind and photovoltaic energy in order to provide an industrial site with electrical power. This study will continue with the sizing of these systems and the assessment of their performances through a technical and economic comparison. The results show that wind energy have a low impact and a reasonable economic cost. In the second part of this paper, we are going to focus on the modelling of a Doubly Fed Induction Generator (DFIG) used in wind systems in order to compare its performances to a squirrel cage generator (SCG). Final part has been attempted to presents the comparative study of Proportional Integral (PI), Proportional Integral Derivative (PID) and fuzzy controllers. The simulations of the operation of the different generators are done with MATLAB/SIMULINK and our results are presented and analysed at the end of this work.
FPGA-Based Connected Component Algorithm for Vegetation Segmentation
Authors:   Electrical department, NEST research group, ENSEM, Hassan II University Casablanca, Morocco., Bassine* Fatima Zahra , Errami Ahmed ,   Electrical department, NEST research group, ENSEM, Hassan II University Casablanca, Morocco., Khaldoun Mohamed ,   Electrical department, NEST research group, ENSEM, Hassan II University Casablanca, Morocco.
Published: January 2020

In the process of automatic trees recognition and tracking, image target is captured by RGB camera mounted on a UAV, in processing step image captured is subjected to threshold and extract selected information, This techniques may be applied to recognize objects with different shapes and sizes. In the case of remote sensing vegetation, the image usually contains multiple connected areas or overlapped trees; the proposed system uses the shape characteristics of the image target to self-identify the suspicious overlapped features. This technique allows distinguish, analyze and detect different features in images by assigning a unique label to all pixels that refers to the same entity or object. In the process of automatically recognizing and tracking the target of an image, it is first segmented and extracted. The resulting binary image usually contains several connected regions. The system uses the shape characteristics of the target in the image to automatically identify the suspected overlapped trees. Therefore, it is necessary to detect and evaluate each connected area block separately, in this paper, the improved FPGA-specific rapid marking algorithm is used to detect and extract each connected domain.
Logistic Regression for Employability Prediction
Authors:   Research Scholar, Department of Computer Science, Sacred Heart College, Tirupattur, Tamil Nadu, India., Celine* S. , Dominic M. Maria ,   Assistant Professor, Department of Computer Science, Sacred Heart College, Tirupattur, Tamil Nadu, India., Devi M. Savitha ,   Assistant Professor, Department of Computer Science, Periyar University Constitution College for Arts and Science, Harur, Tamil Nadu, India.
Published: January 2020

Prediction is a conjecture about something which may happen. Prediction need not be based upon the previous knowledge or experience on the unknown event of interest in the future. But it is a necessity for mankind to foresee and make the right decisions to live better. Every person does predictions but the quality of the predictions differs and that differentiates successful persons and unsuccessful persons. In order to automate the prediction process and to make quality predictions available to every person, machines are trained to make predictions and such field comes under machine learning and later on deep learning algorithms. Various fields such as health care, weather forecasting, natural calamities, and crime prediction are some of the applications of prediction. The researchers have applied the field of prediction to see whether a model can predict the employability of a candidate in a recruitment process. Organizations use human expertise to identify a skilled candidate for employment based on various factors and now these organizations are trying to migrate to automated systems by harnessing the benefits of the exponential growth in the area of machine learning and deep learning. This investigation presents the development of a model to predict the employability by using Logistic Regression. A set of candidates was tested in the proposed model and results are discussed in this paper.
Social Intelligence and Valuable Orientations of First-Year Students of the University
Authors:   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., Z.V.* Smirnova , E. A. Chelnokova ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., L.Yu. Shobonova ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., A.V. Chanchina ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., M.L Gruzdeva ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., K. S. Chastnov ,   "Institute of food technology and design" - branch of the State budget educational institution of higher education "Nizhny Novgorod state University of engineering and Economics".
Published: January 2020

The authors turn to the consideration of the issue of social intelligence and value orientations of high school students. Speaking about the relevance of the study, the authors indicate that social intelligence and the value orientations provide students with psychological adaptation to new socio-economic conditions and education systems, and participate in the formation of professional self-determination. Considering social intelligence, the authors turn to the interpretation of this concept by researchers E.L. Thorndike, F. Moss and T. Hunt, G. Olport. When considering the concept of “value orientations”, the authors turn to history and give its definition, based on the study of psychological and pedagogical literature. In order to study the social intelligence and value orientations of high school students, the authors conducted an experiment, which is based on a test for the study of social intelligence by J. Guildford and M. O’Sullivan. The students' value orientations were evaluated according to three universal factors: grades (values), strengths (potency) and activity, developed by C. Osgood.
28 GHz Off-the-Shelf Low Noise Amplifier for 5G Baseband Wireless System
Authors:   School of Electrical and Electronic Engineering, USM., Yusof Nur Syahadah , Mohamed* Mohamed Fauzi Packeer ,   School of Electrical and Electronic Engineering, USM., Omar Mohamad Faiz Mohamed ,   Collaborative Microelectronic Design Excellence Centre (CEDEC), USM, Pulau Pinang, Malaysia., Ain Mohd Fadzil ,   Collaborative Microelectronic Design Excellence Centre (CEDEC), USM, Pulau Pinang, Malaysia / School of Electrical and Electronic Engineering, USM., Nor Norlaili Mohd ,   School of Electrical and Electronic Engineering, USM, Zawawi Mohamad Adzhar Md ,   School of Electrical and Electronic Engineering, USM, Ishak Mohammad Khairi ,   School of Electrical and Electronic Engineering, USM.., Hairi Mohd Hendra ,   Faculty of Electrical Engineering (FKE), Universiti Teknikal Malaysia Melaka (UTEM).
Published: January 2020

This paper presents the simulation and measured results of a Low Noise Amplifier (LNA) working at 28 GHz for the 5G wireless system. LNA is used to amplify the weak receiving signals in the RF receiver system. The 28 GHz (Ka-band) LNA is designed to work for 5G technology wireless system. Here a Fujitsu FHR02X transistor is used in the simulation process, where the one-stage LNA is adopting a common-source with source inductive degenerative topology.In the fabrication process, GaAs pHEMT MMIC HMC519LC4 LNA is mounted on the Rogers 4003C board (εr = 3.38 and δ = 0.0027)and tested using (PNA-X N5246A) Microwave Network Analyzer. The final LNA design in the simulation process achieves a power gain of 9.185 dB, input and output return losses of – 13.124 dB and – 15.455 dB respectively, and noise figure of 9.185 dB. Furthermore, the fabricated LNA achieves a power gain of 10.91 dB, input and output return losses of - 7.75 dB and - 22.13 dB respectively. Although the return loss (S11) value is higher than -10 dB, but the LNA still able to obtain gain more than 10 dB.Thesimulation and fabricated LNA have input return loss quite closed to the given value in the datasheet. Thus, the LNA transmission line has a good output matching design.
Geographic Routing In WSN for Measuring Coverage Constraints and Energy Consumption in Cloud Environments
Authors:   Research Scholar, Department of PG & Research in Computer Science, Jairams Arts and Science College, (Affiliated to Bharathidasan University) Karur, Tamil Nadu, India., Nithya* K.V. , Umadevi Dr.V. ,   Research Supervisor, Department of PG & Research in Computer Science, Jairams Arts and Science College (Affiliated to Bharathidasan University) Karur. Tamil Nadu, India.
Published: January 2020

This paper investigates the problem of energy efficient and consumption process in wireless sensor networks. The fundamental problem in WSN has handled the energy constraints and avoiding end-to-end delay networks. We introduce encoding technique for handling transmission data, network delays, content aware service and energy expenditure problems. The end-to-end delay varies depending up on nodes and sensor life time. We apply hamming encoding technique for estimating energy constraints with life time of buffer capacity factor. This paper proposes the novel based approach to handle group communication, senor node status, network transmission and optimal encoded behaviors. Each cluster group values are sensed by node reference time and calculate hamming code weight for each node counts. The quality of services can be achieved by energy saving measurements and data loss can be varies up on incoming packet request. We compare the encoded result with code word situation and hazard environment. We reduce the amount of data transmission factor and life time of sensor values and longer network delays. We show the simulating results with encoding scheme and reduced energy consumption. The performance can be monitored by coverage constraints and optimal transmission behaviors.
Development of a Real-Time Fuel Monitoring System for Construction Industry using Internet of Things
Authors:   Dept of CSS, Brainware University, Kolkata, India., Bose Dr. Rajesh , Roy* Dr. Sandip ,   Dept. of CSS, Brainware University, Kolkata, India., Chakraborty Srabanti ,   Dept. of CST, EIEM, Kolkata, India., Sarkar Indranil ,   Dept. of CSS, Brainware University, Kolkata, India.
Published: January 2020

Construction companies are, today, beset by numerous challenging issues in trying to carry out civil engineering projects to support growing urban populations around the world. Construction companies and contractors in civil engineering domain rely on heavy construction vehicles and mobile equipment that rely on internal combustion engines that consume copious volumes of fossil fuels in the form of diesel fuel. The price of diesel fuel combined with humongous volumes required to keep heavy construction vehicles as well as transport vehicles in operation, therefore, puts a considerable strain on the resources of a construction firm engaged in construction project requiring extensive resources in the form of both human, equipment, vehicular and machinery. Without an appropriate tracking mechanism to monitor fuel consumption of vehicles such as transit mixers operating at construction site, a construction firm can quickly run up huge fuel bills leading to operational and financial losses in both short- and long-run. Using Internet-of-Things (IoT), collection of fuel monitoring data followed by real-time analyses at a centralized location, construction companies can easily track movements of construction vehicles embedded with sensor devices. In this paper, we propose a new system that is based on a capacitive sensor that is open source, coupled to a controller embedded in a construction equipment vehicle. The function of the controller would be to provide global positioning data over GPRS radio module for data transfer from almost any remote location.
Energy Efficacious IoT Based Nifty Parking Information System
Authors:   School of Electronics Engineering, VIT Chennai Campus, Chennai, India., Nagajayanthi* B.
Published: January 2020

Urbanization has inflated populace. This has upsurged traffic and pollution turning traffic management into a tangible reality. Gazillions of people around the globe prefer ownership of private vehicles over public mode of transportation. There is an imbalance between the available parking space and demand. The proposed Internet-of-Things (IoT) based nifty parking information system (IPIS) module is deployed on-site to monitor vehicles, signal the availability of parking space to the user, facilitate reservation of the parking slot and thereby reduce the time in finding the parking slot. MIT App Inventor creates applications on Android operating system to facilitate slot reservation for authenticated users. IPIS integrates IoT based Raspberry Pi module with the mobile Application to design an eased parking system operable with minimal energy. The user details are recorded in a server database. Based on this, an RFID tag permits user entry and exit into the parking slot. A Raspberry-Pi(R-Pi) camera module captures the license plate image and uses image recognition algorithm to match the license plate of the vehicle with the database, authenticates and then allows the member to park his vehicle in the respective slot. IPIS provides highly secured, double verified user vehicle authentication. The Raspberry- Pi also adjusts the intensity of the lights using machine learning based on the density of the traffic recorded by the camera module. This research focuses on slot reservation for authenticated users, providing map guidance to the booked slot, maximizing slot utilization, facilitating with vehicle and user timestamp transit details in real time for surveillance, conserving parking slot light energy utilization while regulating the cars through parking spaces and also performs predictive analysis on evaluating the optimum distance between the camera and number plate for recognition and power dissipation.
Authentication of IOT Device Network Address with Implementation in Virtual Machine
Authors:   Research Scholar, R& D Centre, Bharathiar University , Coimbatore, India., Mageshwari* S.Uma , Santhi Dr. R. ,   Research Supervisor, Bharathiar University, Coimbatore, India.
Published: January 2020

The IOT is booming in this era, to make user convenience much better than before. The IOT devices involved for communication can be vulnerable by the intruder. During data transmission for the IOT devices, it must be authenticated with suitable methodology. The hackers spoof the address and pretend to be the actual communicator. The other party trust this spoofed address is the authorized person. Hence, this can be processed with the appropriate Cryptography algorithms. The proposed approach is the fusion of AES and ECDSA with implementation of Python code in Ubuntu Linux. The established code takes the Network Address (MAC – Media Access Control) of running host directly through OS, such that the Network address is encrypted. The verification of the Network address is demonstrated with Windows and Ubuntu Virtual Machine. Therefore, the developed code must be installed in IOT device to accomplish secure data transmission. The motto of this paper is to enlighten the security for Network address of IOT devices.