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Pengembangan Aplikasi Online Public Access Catalog (Opac) Perpustakaan Berbasis Web Pada Stai Auliaurrasyiddin Tembilahan Azzahra, Dini; Ramadhani, Siti
Jurnal Teknologi Dan Sistem Informasi Bisnis - JTEKSIS Vol 2 No 2 (2020): Jurnal Teknologi Dan Sistem Informasi Bisnis (Jteksis)
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v2i2.127

Abstract

Perpustakaan STAI Auliaurrasyidin memiliki kurang lebih 8000 buku yang terdiri dari berbagai jenis topik pembahasan. Buku tersebut disusun rapi didalam rak buku agar pengunjug menemukan buku yang diinginkan dengan mudah. Rak buku tersebut dilengkapi dengan abjad yang mewakili awal judul buku karena perpustakaan tersebut hanya memiliki sistem temu informasi buku atau OPAC (Online Public Access Catalog) yang berbasis local sehingga sangat menyulitkan jika mencari buku pada saat kita tidak berada dimeja komputer pencarian. Oleh sebab itu maka dikembangkanlah Aplikasi Online Public Access Catalog Perpustakaan berbasis Website menggunakan Bahasa pemrograman PHP dan dirancang menggunakan database MySQL guna untuk memudahkan dalam permasalahan tersebut. Aplikasi ini dikembangkan dengan menggunkana pendekatan metode RAD (Rapid Application Deployment) Serta Aplikasi OPAC yang dikembangkan telah melalui pengujian Black Box dan pengujian UAT dengan memperoleh hasil rentang kategori setuju.
Making crackers “Sipanduk” from coffee skin as a new breakthrough that has economic value to increase tourism potential Musyafa?ah, Anis; Juliati; Ramadhani, Siti
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2019): ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (730.501 KB) | DOI: 10.32734/abdimastalenta.v4i2.4272

Abstract

Dedication through the discipline of science as an implementation of the knowledge received in college so that students can answer the challenges of an increasingly rapid era. In the midst of the increasingly strong competition, it is necessary to have a planned, systematic, and applicative activity to train and educate students to become young intellectuals who are qualified and responsive to the problems that arise in the midst of people's lives and are able to look for the solution. Environmental conditions which are plantations, agriculture, and animal husbandry as well as home industries that produce waste that cause many disease sectors that are easily breed and affect the health of livestock and society. The potential, from the extraordinary abundance of coffee from agriculture, has made us take the initiative to make coffee crackers from coffee skins that have been thrown away into waste. With the use of coffee cherry skin, hopefully coffee skin will not become waste. Coffee is not only enjoyed with drinks but can also be made into crackers
Rancangan Sistem Informasi Manajemen Aset di PT. Sentral Tukang Indonesia Ridwan, Muhammad; Muhammad, Muhammad; Ramadhani, Siti
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 3, No 2 (2017): Desember 2017
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1013.068 KB) | DOI: 10.24014/coreit.v3i2.4415

Abstract

Sentral Tukang Indonesia adalah perusahaan retail yang menjual aksesoris bangunan yang beralamat di Jl. Riau No.131 C-D, Pekanbaru. Sentral Tukang saat ini menghadapi masalah dalam manajemen aset dari proses perawatan aset karena masih menggunakan ingatan perorangan saja sedangkan asetnya banyak. Jika perorangan tersebut terlupa akan menjadi masalah apalagi terkait jenis aset yang melakukan pembayaran dan jika terlambat akan dikenakan denda. Penelitian ini untuk memudahkan sentral tukang untuk melakukan pencatatan perawatan aset perusahaan tersebut. Penelitian ini dibuat dengan menggunakan Visual Basic 6.0 sebagai program aplikasi desktop dan MySQL sebagai aplikasi databasenya. Proses penelitian dilakukan observasi dikarena penulis juga bekerja di sentral tukang selama setahun dan  penulis mendapatkan masalah aset ini. Tahap pembuatan aplikasi ini yaitu analisa kelemahan sistem lama, pencarian data, perancangan, pembuatan, pengetesan, dan implementasi dari perancangan sistem informasi manajemen aset di sentral tukang. Hasil dari penelitian ini program desktop yang mengelola pencatatan perawatan aset dan juga sebagai pengingat akan perawatan aset-aset yang berada di Sentral Tukang. Kata Kunci – Sistem Infomasi, Manajemen Aset, Perawatan Aset
AN ANALYSIS OF SLANG WORDS USED IN “THE HOLDOVERS” MOVIE SCRIPT Ramadhani, Siti; Eliwarti, Eliwarti; Masyhur, Masyhur
Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Vol 11, No 1 (2024): EDISI 1 JANUARI-JUNI 2024
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract: This research aims to find out the types and reasons for using slangwords by the characters in the “The Holdovers” movie script. The research design usedin this study is descriptive qualitative research with document analysis as the researchtype. The source of the data was taken from the script of “The Holdovers” moviewritten by David Hemingson. Allan and Burridge's (2006) theory was used to analyzethe data in this research. The finding shows that 96 data of slang words were found withFresh and Creative types as the most dominant type of slang words used by thecharacters in this movie, Then followed the Flippant type, Imitative type, Clipping type,and lastly the acronym type. Meanwhile, out of 192 frequencies of utterances, it wasfound that To Reveal Anger was the most frequently used reason for using slang wordsin “The Holdovers” movie script. It is followed by To Address, To Express Impression,To Humiliate, To Initiate Relax Conversation, To Form Intimate Atmosphere, and lastlyTo Show Intimacy.Key Words: Slang Words, Movie Script, The Holdovers
Sistem Pencegahan Plagiarism Tugas Akhir Menggunakan Algoritma Rabin-Karp (Studi Kasus: Sekolah Tinggi Teknik Payakumbuh) Ramadhani, Siti
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 6 No. 1 (2015): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (385.902 KB) | DOI: 10.31849/digitalzone.v6i1.88

Abstract

Abstrak- Plagiarisme merupakan tindakan yang dilarang dan termasuk pelanggaran Hak Cipta. Berdasarkan Peraturan Menteri Pendidikan Nasional Republik Indonesia Tahun 2010, Para pelaku plagiarism dapat dikenakan sangsi berupa teguran hingga pembatalan ijazah mahasiswa yang telah lulus. Upaya yang ditempuh untuk mencegah terjadinya plagiarisme adalah dengan mendeteksi terjadinya plagiarisme menggunakan algoritma pencocokan string seperti Boyer Moore, Brute Forte, Knuth Moris Pratt (KMP), dan Rabin-Karp. Algoritma yang paling efektif adalah algoritma Rabin-Karp yang menggunakan fungsi k-gram untuk menentukan panjang potongan pola string dan fungsi hash untuk mengubah setiap pola string menjadi nilai numerik kemudian membandingkan tingkat kesamaan source teks dengan teks pembanding. Studi kasus dilakukan di Sekolah Tinggi Teknologi Payakumbuh melalui pengambilan sampel data berupa proposal judul yang diajukan mahasiswa Teknik Komputer. Dalam upaya pendeteksian plagiarime dilakukan dengan membandingkan potongan sampel source dokumen dan potongan sampel dokumen pembanding mewakili proposal yang lengkap untuk menerapkan analisa meggunakan algoritma Rabin-Karp. Proses analisa berlangsung 4 tahap yaitu : preprocessing, tokenizing k-gram, fingerprint dan perhitungan similarity. Hasil pengujian berupa persentase nilai similariy antara teks A dan B serta teks B dan C menggunakan nilai k-gram 3, 4 dan 5 serta penggunaan basis 3, 5 dan 11 yang mana didapatkan nilai perbandingan tertinggi pada nilai k-gram=3 dan basis=3 yaitu 78.16% untuk teks A dan B, 78,79% untuk teks A dan C. Kata kunci: Algoritma Rabin-Karp, Hashing, K-gram, Fingerprint, Similarity Abstract- Plagiarism is prohibited and a violation of copyright. Based on the Regulation of the Minister of National Education, Republic of Indonesia, 2010, whom who done plagiarism may be the subject of punishment in the form of a reprimand to cancellation of diploma students who has graduated. The efforts that can be taken to prevent plagiarism is to detect the occurrence of plagiarism using string matching algorithms such as Boyer Moore, Brute Forte, Knuth Morris Pratt (KMP), and Rabin-Karp. The most effective algorithm Rabin-Karp algorithm that uses the functions k-gram to determine the length of the string and the pattern pieces hash function to change any pattern string into a numeric value and then comparing the level of similarity source text with the comparison text. The Case studies in Payakumbuh College Technology is done through sampling data in the form of proposals title which are submitted by Computer Engineering student. To detect the plagiarism is done by comparing the sample pieces source documents and comparison sample pieces document. Testing process on 4 stages, they are: preprocessing, tokenizing k-gram, fingerprint and similarity calculation. The research result is the similariy value precentage on comparison of text A and text B also text A and text C in kgram value is 3, 4 and 5 then basis value on 3, 5 and 11 which better done on k-gram value=3 Sekolah Tinggi Teknik Payakumbuh) Title of manuscript is short and clear, implies research results (First Author) n45 and basic value 3 they are 78.16% for comparition of text A and B then 78,79 for comparition of text A and text C. Keywords: Algoritma Rabin-Karp, Hashing, K-gram, Fingerprint, Similarity
Comparison of K-Means and K-Medoids Algorithms in Text Mining based on Davies Bouldin Index Testing for Classification of Student’s Thesis Ramadhani, Siti; Azzahra, Dini; Z, Tomi
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 1 (2022): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/digitalzone.v13i1.9292

Abstract

The thesis is one of the scientific works based on the conclusions of field research or observations compiled and developed by students as well as research carried out according to the topic containing the study program which is carried out as a final project compiled in the last stage of formal study. A large number of theses, of course, will be sought in looking for categories of thesis topics, or the titles raised have different relevance. However, the student thesis can be by topics that are almost relevant to other topics so that it can make it easier to find topics that are relevant to the group. One of the uses of techniques in machine learning is to find text processing (Text Mining). In-text mining, there is a method that can be used, namely the Clustering method. Clustering processing techniques can group objects into the number of clusters formed. In addition, there are several methods used in clustering processing. This study aims to compare 2 cluster algorithms, namely the K-Means and K-Medoids algorithms to obtain an appropriate evaluation in the case of thesis grouping so that the relevant topics in the formed groups have better accuracy. The evaluation stage used is the Davies Bouldin Index (DBI) evaluation which is one of the testing techniques on the cluster. In addition, another indicator for comparison is the computation time of the two algorithms. According to the DBI value test carried out on algorithm 2, the K-Medoids algorithm is superior to K-Means, where the average DBI value produced by K-Medoids is 1,56 while K-Means is 2,79. In addition, the computational time required in classifying documents is also a reference. In testing the computational time required to group 50 documents, K-Means is superior to K-Medoids. K-Means has an average computation time for grouping documents, which is 1 second, while K-Medoids provide a computation time of 26,7778 seconds.
The Effect of Kangaroo Care on Body Temperature Stability of Low Body Weight : Literature Review Ruminem, Ruminem; Adawiyah, Jamiatul; Widiastuti, Ida Ayu Kade Sri; Sari, Rita Puspa; Ramadhani, Siti
Jurnal Kesehatan Pasak Bumi Kalimantan Vol 5, No 2 (2022): JKPBK Desember 2022
Publisher : Fakultas Kedokteran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/j.kes.pasmi.kal.v5i2.9285

Abstract

Background : Low Birth Weight Babies (LBW) are babies born with birth weight <2500  grams  regardless  of gestational age. One  of the complications of LBW is the  instability  of  body  temperature,   so   to   maintain  its  stability  the  kangaroo method  of  care  is  used. The  purpose of this  study is u ntuk  identify  and  analyze articles related  to  the kangaroo  method  of treatment influences the stability of the baby's body temperature  LBW. Methods   of study : This   study   is   a   literature review   premises  using   the   3 articles that are tailored  to the inclusion  criteria  and were analyzed  methods critical appraisal . Research Results : Based  on the results of the research, the three articles showed that the characteristics of the majority of respondents were female, aged 3-28 days and   the   majority   weighed   1500-2000   grams. There  is  a  difference  in  body temperature  of  LBW  babies  before  and  after  Kangaroo  Method  Treatment  and there  is  an  effect  of  Kangaroo   Method   Care  on  the  stability  of  the  body temperature of LBW babies. Conclusion :   There is differences  in  body  temperature  of  LBW  before  and  after  being given kangaroo   method   treatment  and  there  is  an  effect  of  kangaroo  method  care on body temperature of LBW babies.. 
Klasifikasi Sentimen SVM Dengan Dataset yang Kecil Pada Kasus Kaesang Sebagai Ketua Umum PSI El Saputra, Yoga; Agustian, Surya; Yusra, Yusra; Ramadhani, Siti
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 6 (2024): Juni 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i6.1944

Abstract

Social media has become the main platform for the public to express views and opinions on various events, including the appointment of Kaesang Pangarep as General Chair of the Indonesian Solidarity Party (PSI). This research aims to classify public sentiment towards the appointment using the Support Vector Machine (SVM) method with the Term Frequency-Inverse Document Frequency (TF-IDF) approach. Data was collected from Twitter using the keyword "Kaesang PSI" as well as external data on topics related to Covid-19. In the kaeasang data, 300 data were taken with each label (positive, neutral, negative) to get 100 tweets and added external data of 900 data with each label (positive, neutral, negative) to get 300 tweets. After the text preprocessing process which includes case folding, stopword removal, and stemming. The model was tested using a confusion matrix to evaluate performance based on accuracy, precision, recall and F1 Score metrics. The results show that the SVM model with TF-IDF has an F1 Score of 0.53, accuracy of 0.62, precision of 0.52, and recall of 0.57. Adding external data related to Covid-19 to the TF-IDF feature has been proven to significantly improve model performance. In conclusion, the SVM method with TF-IDF is effective in analyzing sentiment on social media even with small datasets.
Review of Original Differential Evolution Algorithm: Research Trends, Original Setting Parameters Wang, ShirLi; Budiman, Haldi; Ramadhani, Siti; FooNg, Theam; Morsidi, Farid
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 10, No 2 (2024): December 2024
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/coreit.v10i2.29903

Abstract

Abstract: Differential Evolution (DE) has emerged as a widely embraced optimization algorithm, consistently showcasing robust performance in the IEEE Congress on Evolutionary Computation (CEC) competitions.Purpose: This study aims to pinpoint key regulatory parameters and manage the evolution of DE parameters. We conduct an exhaustive literature review spanning from 2010 to 2021 to identify and analyze evolving trends, parameter settings, and ensemble methods associated with original differential evolution.Method: Our meticulous investigation encompasses 1,210 publications, comprising 543 from ScienceDirect, 12 from IEEE Xplore, 424 from Springer, and 231 from WoS. Through an initial screening process involving title and abstract skimming to identify relevant subsets and eliminate duplicate entries, we excluded 762 articles from full-text scrutiny, resulting in 358 articles for in-depth analysis.Findings: Our findings reveal a consistent utilization of tuning parameters, self-adaptive mechanisms, and ensemble methods in the final collection. These results deepen our understanding of DE's success in CEC competitions.Value: offer valuable insights for future research and algorithm development in optimization fields.  
Analysis Of The Result Of DNA (Deoxyribonucleic Acid) Electrophoresis On Vaginal Mucosal Swabs With Cervical Cancer Patients Ramadhani, Siti; Rizky, Vincentia Ade; Siregar, Sa'adah
Medistra Medical Journal (MMJ) Vol 2 No 1 (2024): Medistra Medical Journal (MMJ)
Publisher : Institut Kesehatan Medistra Lubuk Pakam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35451/mmj.v2i1.2371

Abstract

Background: Cervical cancer is one of the second-highest sexually transmitted diseases in the world, accounting for 13% of the total 22% of deaths caused by non-communicable diseases. Today there have been many developments about cervical cancer diagnosis methods especially in early detection aimed at recognizing cervical cancer at an earlier stage, including molecular biology detection using PCR tools and electrophoresis. Objective: To identify the results of DNA electrophoresis in vaginal mucosal swabs with cervical cancer. Method : The research method used is experimental. Results: Based on the results of a study using a documentary gel, 2 samples of HPV DNA tape were detected, it was tested positive because there was 450 bp DNA tape and 4 samples of negative results were obtained. Conclusion: The frequency distribution of respondents from 6 samples by using electrophoresis and focumerary gel as readers detected 2 positive samples. A positive result is expressed if a result in the documentary gel is found to be a DNA band. The size of the DNA ribbon produced with the DNA marker markers is at 450 bp, according to the sample target. This shows that the DNA bands in the sample are about 450 bp in size.