1,720,958 research outputs found
Evaluasi Perbaikan Kesalahan Sistem (Bug) dengan Metode Failure Mode & Effect Analysis pada Aplikasi Android di PT Aku Pintar Indonesia
Full text linkPerkembangan teknologi informasi merubah proses belajar secara konvensional menjadi digital yang banyak dikembangkan oleh industri startup pendidikan. PT Aku Pintar Indonesia adalah salah satu industri startup pendidikan yang saat ini mengembangkan aplikasi berbasis Android. Permasalahan yang sering muncul dalam managemen resiko adalah kesalahan sistem (bug) yang bisa saja muncul pada berbagai fitur maupun proses administratif sehingga perlu dilakukan perbaikan kesalahan sistem (Bugfix). Di tengah ketatnya industri startup pendidikan maka layanan aplikasi Aku Pintar harus bisa memberikan layanan prima bagi penggunanya, karena dengan terjadinya Bug akan merugikan Aku Pintar antara lainnya adalah proses belajar terganggu, pengguna semakin tidak percaya, oleh karena itu perlu melakukan pembuatan prioritas penyelesaian kesalahan sistem (Bugfix). Pada penelitian ini akan membantu PT Aku Pintar Indonesia dalam pemilihan prioritas pengerjaan kesalahan sistem (Bugfix) guna meningkatkan layanan yang diberika. Metode penelitian yang digunakan adalah FAILURE MODE & EFFECT ANALYSIS (FMEA). Pada penelitian ini menggunakan alat guna melacak kesalahan sistem (Bug) yang berbasis web yaitu Google Play Console. Tingkat kerugian yang ditimbulkan dari masing-masing kesalahan ditentukan dengan memanfaatkan expert judgement dalam sebuah Focus Grup Discussion. Penelitian ini mengidentifikasi 9 kesalahan sistem (Bug) pada bagian administrasi dan 47 kesalahan sistem (Bug) pada bagian fitur. Hasil pengerjaan risk mapping administrasi level ekstrem membutuhkan waktu 40 jam, level tinggi tidak terjadi kesalahan sistem, level moderat membutuhkan waktu 16 jam, level rendah membutuhkan waktu 4 jam, sedangkan bagian fitur pada level ekstrem membutuhkan waktu 16 jam, level tinggi membutuhkan waktu 16 jam, level moderat membutuhkan waktu 8 jam, dan level rendah membutuhkan waktu 4–8 jam. Melalui penerapan metode FMEA dapat mengurangi tingkat kesalahan sistem secara keseluruhan. Kata kunci: android, FMEA, kesalahan sistem/bug, manajemen resiko ========================================================================================================================================
The development of information technology has transformed conventional learning processes into digital ones which are developed by many educational start-up industries. PT. Aku Pintar Indonesia is one of educational start-up industries developing an android-based application. The frequently problems arise in risk management are system errors (bugs) could appear in various both the features and administrative processes that need system error repair (Bugfix). In the midst of the tightness of educational start-up industry, Aku Pintar application service must be able to provide excellent service to the users, because the occurrence of bug will harm Aku Pintar in several aspects, such as, the distraction in learning processes, the reduction in users’ trust, the decreases of users’ convenience. Therefore, it is necessary to conduct a planned priority of bugfix completion and considering the effects and frequency of the occurrences. This research aims to help Aku Pintar Indonesia enterprise in choosing the priority of system error repair (Bugfix). The research method used is FAILURE MODE & EFFECT ANALYSIS (FMEA). This research used a web-based tool to track the system errors, named Google Play Console. . The disadvantage level appeared from each errors determined by utilizing expert judgment in a Focus Group Discussion (FGD). This study identified 9 system errors (Bugs) in the administration section and 47 system errors (Bugs) in the features section. The result of risk mapping in administration section took 40 hours for very high level, none for high level, 16 hours for medium level, and 4 hours for low level. While the feature section took 16 hours for very high level, 16 hours for high level, 8 hours for medium level, and 4-8 hours for low level. The implementation of FMEA method could decrease the overall system errors. Keywords: android, FMEA, risk management, system error / bu
Studi Efektivitas Ekstraksi (Capsaicin) dari Cabai (Capsicum) Dengan Metode MASE (Microwave Assisted Soxhlet Extraction)
Full text linkCabai merupakan salah satu jenis komoditi holtikultura yang penting dan digemari oleh masyarakat dalam kehidupan sehari-hari. Cabai dapat digunakan untuk bumbu masak sehari-hari, Industri makanan dan obat-obatan. Namun masalah yang terjadi adalah ketika adanya fluktuasi harga yang sangat merugikan petani cabai. Terlebih apabila hasil panen sedang meningkat sehingga ketersediaan komoditas ini semakin banyak, tentu hal ini dibarengi dengan turunnya harga yang membuat hasil penjualan petani tidak mampu menutup biaya produksi yang digunakan. Oleh karena itu, melalui serangkaian proses penelitian ini diharapkan mampu menghasilkan proses ekstraksi cabai yang digunakan sekelompok petani cabai untuk mengekstraksi produk cabai yang melimpah pada saat musimnya sehingga bisa diubah menjadi produk yang memiliki nilai jual tinggi.
Pada penelitian ini akan dilakukan beberapa tahap yaitu meliputi tahap persiapan berupa studi literatur dan observasi laboratorium; perancangan alat dimana alat yang akan digunakan adalah MASE ( Microwave Assisted Soxhlet Extraction). Untuk treatment bahan baku diambil sampel cabai rawit segar dilanjutkan dengan proses ekstraksi yaitu dengan menggunakan metode MASE dan tahap analisa dengan variabel-variabel massa cabai dengan jenis bahan baku Cabai Rawit segar yaitu massa cabai rawit (0,04; 0,08; 0,12; 0,16; dan 0,2 gram). Daya microwave (400 W, 600 W, dan 800 W). Siklus proses di microwave ( 2; 4; 6; 8; dan 10 cycle). Kemudian uji kadar ekstrak cabai dengan secara kuantitatif; dan menghitung yield yang dihasilkan sehingga dapat diketahui kondisi yang paling tinggi.
Hasil Penelitian menghasilkan yield ekstrak cabai rawit segar dengan metode Microwave Assisted Soxhlet Extraction (MASE) adalah 400 W dengan 8 extraction cycle, massa cabai rawit 20 gram menghasilkan yield sebesar 8,4824%. Hasil Uji High Performance Liquid Chromatography (HPLC) mengandung capsaicin sebesar (0,453±0,004) %b/b atau sebesar (45.3±0,4) ppm.
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Chili is one type of horticultural commodity that is important and favored by society in everyday life. Chili can be used for everyday cooking spices, Food industry and medicine. But the problem that occurs is when the price fluctuations are very detrimental to chili farmers. Especially if the yield for increasing so the availability of this commodity, of course this is coupled with the decline in prices that make the sale of farmers unable to cover the cost of production was used. Therefore, through a series of research process is expected to produce a process of chili extraction used a group of chili farmers to extract chili products in abundance during the season so it can be converted into products that have high for selling value.
In this research will be done several stages that include preparation phase in the form of literature study and laboratory observation; Design tools where the tool to be used is MASE (Microwave Assisted Soxhlet Extraction). For treatment of raw material was taken sample of fresh cayenne pepper is followed by extraction process that is by using method of MASE and analysis phase with variables of mass of chili with type raw material of fresh chili Rawit is mass of cayenne pepper (0,04,0,0; 0,12 ; 0.16; and 0.2 gram). Microwave power (400 W, 600 W, and 800 W). Process cycles in microwave (2; 4; 6; 8; and 10 cycle). Then test the content of chili extract with a quantitative; And calculate for resulting in yield so it can know the highest condition.
The result of this research yield yield of fresh chilli extract with Microwave Assisted Soxhlet Extraction (MASE) method is 400 W with 8 extraction cycle, mass of 20 gram of cayenne pepper yield yield of 8,4824%. High Performance Liquid Chromatography (HPLC) test results was contained capsaicin (0.453 ± 0.004)% w / w or (45.3 ± 0.4) ppm
Inovasi pembuatan cream koyo dari ekstrak capsaicin menggunakan metode microwave solvent extraction
Full text linkSaat ini sediaan farmasi di Indonesia sangat beraneka ragam jenisnya
mengingat Indonesia merupakan negara yang memiliki segala jenis kebutuhan yang erat
kaitannya tentang sediaan farmasi. Salah satu sediaan farmasi tersebut yang telah
dikenal baik oleh masyarakat adalah koyo tempel. Namun koyo tempel yang beredar
memiliki beberapa kelemahan diantaranya adalah ketika koyo dilepas akan
meninggalkan rasa sakit. Selain itu perekat pada koyo tempel (SIS polimer) menimbulkan
reaksi iritasi kecil pada kulit serta menimbulkan potensi toxic dalam jumlah yang relatif
kecil. Oleh Karena itu perlu dilakukan inovasi mengenai obat koyo yang tidak
menimbulkan iritasi terhadap kulit, tidak mengandung bahaya toxic, serta lebih praktis
dan memiliki nilai ekonomis yang lebih tinggi. Dengan menjadikan obat koyo tempel
menjadi cream koyo yang terbuat dari ekstrak capsaicin dari cabai rawit (Capsicum
frustecens L.).Pada inovasi ini akan dilakukan beberapa tahap yaitu meliputi tahap
persiapan berupa studi literatur dan observasi laboratorium; perancangan alat dimana
alat yang akan digunakan mengalami beberapa modifikasi serta instalasi peralatan.
Untuk treatment bahan baku dilakukan proses pengeringan dalam oven pada suhu 60 OC
selama 32 jam jika sudah memenuhi standar kadar air kurang dari 2 % dilanjutkan
dengan proses ekstraksi yaitu dengan menggunakan metode solvent extraction dan
microwave solvent extraction dan destilasi dengan variable waktu yang digunakan yaitu
30, 60, 90, dan 120 menit dengan kondisi operasi yaitu pada suhu 78 OC dan tekanan 1
atm;; uji kadar capsaicin dengan HPLC secara kuantitatif; dan menghitung yield yang
dihasilkan sehingga dapat diketahui suhu yang paling optimum. Kemudian dilanjutkan
dengan proses pembuatan cream koyo. Kemudian selanjutnya dilakukan uji organoleptik.
Dari hasil percobaan yang telah dilakukan, didapatkan bahwa metode yang terbaik untuk
menghasilkan ekstrak capsaicin dari buah cabai rawit (Capsicum frustecens L.) adalah
dengan menggunakan metode microwave solvent extraction dengan waktu optimum
adalah 30 menit dengan yield yang dihasilkan sebesar 3.81 % serta kadar capsaicin
sebesar 2.18 + 0.04 % wt. Sedangkan berdasarkan hasil uji organoleptik terhadap cream
koyo yang dihasilkan didapatkan aroma cream koyo cukup baik, sedangkan untuk tekstur
dari cream koyo adalah baik. Untuk nilai visual, cream koyo yang dihasilkan masih
sangat buruk, sedangkan untuk kehangatan didapatkan kehangatan cream koyo sangat
baik.
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At the present, pharmaceutical preparation in Indonesia has many
different kind.One of it, which is already known is transdermal patch. It has
several weaknesses, among other is when the patch is released will leave the
pain on skin. In addition, the adhesive on patch (SIS Polymer) cause irritation
of skin and lead to potential toxic in relatively small amounts. Therefore, it is
necessary for doing innovation on transdermal patch which do not cause
irritation on skin, contain no toxic hazards, practical and having a higher
economic value. By having transdermal patch into a cream patch which is made
from extracts of capsaicin from cayenne pepper (Capsicum frustecens L.).
These study is consists several steps, among other is the preparation step which
includes literature studies and laboratory observation; equipment design which
the equipment is modified; and equipment installation. For pretreatment raw
material, cayenne pepper is dried inside the oven with temperature 60 oC for 32
hours until the water content is less than 2 %. Then followed by leaching by
using solvent extraction and microwave solvent extraction method and
distillation using variables time 30, 60, 90, and 120 minutes with operating
conditions at temperature 78 oC and pressure 1 atm. The extracts is assayed
with HPLC method quantitatively and calculate the yield so it can be
determined the optimum temperature. Then, the extract is processed to cream
patch and doing organoleptic tested. From the results, it is found the best
method to extract capsaicin from cayenne pepper (Capsicum frustecens L.) is
using microwave solvent extraction method with optimum time is 30 minutes
produced a yield of 3.81 % and capsaicin content of 2.18 + 0.04 % wt. While
based on the results of organoleptic tested to cream patch, cream patch aroma
is good enough, for the texture of cream patch is good. For visual of cream
patch is very bad, while for the warmth, cream patch is good
Analysis of Acceptance Factor in Education Technology Industry: Case Study of Aku Pintar
Full text linkAbstrak: Penelitian ini di latarbelakangi oleh masih banyaknya salah jurusan yang dialami oleh mahasiswa di Indonesia. Seiring dengan perkembangan teknologi dan karena pandemi COVID-19 yang sedang berlangsung telah mempercepat “New Normal” di bidang pendidikan, kini Edtech telah sampai pada tahap membantu pelajar dalam memilih jurusan sesuai potensi dan minat bakatnya. Guna meningkatkan ketepatan dan kemudahan pelajar dalam mencari jurusan sesuai potensi dan minat bakatnya, maka akan dicari tahu faktor-faktor yang mempengaruhi penerimaan aplikasi EdTech dalam memilih jurusan dengan studi kasus aplikasi Aku Pintar. Namun terdapat berbagai faktor yang belum diketahui mengenai tingkat pencapaian dan penerimaan pengguna Tes Penjurusan pada aplikasi Aku Pintar. Berdasarkan hal tersebut, penelitian ini ingin mengidentifikasi faktor-faktor penerimaan tes penjurusan pada aplikasi Aku Pintar. Penelitian ini menggunakan model keberhasilan informasi yang telah dimodifikasi dengan menambahkan variabel dari rekomendasi penelitian sebelumnya. Pada penelitian ini menggunakan variabel sebagai berikut: kualitas informasi, kualitas sistem, kualitas layanan, kepuasan pengguna, niat menggunakan, dan manfaat bersih. Metode pengumpulan data menggunakan survei online melalui Google Form. Penelitian ini menggunakan metode analisis data dari smartPLS. Hasil analisis menunjukkan bahwa faktor-faktor yang mempengaruhi keberhasilan pelaksanaan tes penjurusan pada aplikasi Aku Pintar adalah kualitas informasi, kualitas layanan, niat menggunakan, kepuasan pengguna dan manfaat bersih. Abstract: This research was motivated by the high number of wrong majors experienced by students in Indonesia. Along with the development of technology and because the ongoing COVID-19 pandemic has accelerated the “New Normal” in the field of education, it has now Edtech reached the stage of helping students in choosing a major according to their potential and talent interests. To improve the accuracy and ease of students finding majors according to their potential and talent interests, we would find out the factors that influence the acceptance of EdTech applications in selecting majors with a case study of the Aku Pintar application. However, there were various unknown factors regarding the level of achievement and acceptance of Majoring Test users in the Aku Pintar application. Based on this, this study wanted to identify the factors of acceptance of the major’s selection test in the Aku Pintar application. This study used the information success model which had been modified by adding variables from previous research recommendations. The variables used are information quality, system quality, service quality, user satisfaction, intention to use, and net benefit. The data collection method used an online survey via Google Forms. This research used a data analysis method from smartPLS. The results of the analysis showed that the factors that influence the success of the implementation of the major selection test in the Aku Pintar application were information quality, service quality, intention to use, user satisfaction, and net benefits
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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