bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH INTERVENSI ENCHANCE RECOVERY AFTER SURGERY PADA POSTOPERATIVE TERHADAP LENGTH OF STAY: A SISTEMATIK REVIEW
Authors: Jaata Jikrun
Published: March 2021

Background: Health problems arising in the post-operation must be addressed immediately to speed up the recovery process and minimize surgical complications thereby reducing the length of stay in hospital. Enhanced Recovery After Surgery (ERAS) interventions have been introduced to perioperative to reduce hospitalization days. Objective: this study aims to determine the effect of postoperative ERAS interventions on Length of Stay (LOS). Data Source: This systematic review was carried out in several international data bases published from 2010 to 2019 on Pubmed, Proquest, Google Scholar, and Science Direct which began searching on 01 to 31 July 2019. Method: a systematic review using the PRISMA checklist, then the research questions were arranged using PICO in the search for articles so that 11 articles met the inclusion criteria and then analyzed using CASP. Results: There were 7 out of 11 articles that had reviewed ERAS protocol interventions in the postoperative phase reducing the length of stay after the intervention was given and there were differences between the treatment group and the conventional group. While 4 articles were given early mobilization interventions which were part of ERAS in the postoperative phase there were 2 articles which after given the intervention also reduced the length of stay and the remaining 2 articles there was no difference in length of stay. However, the articles that have been reviewed are not known which items in the postoperative phase ERAS protocol cause a reduction in length of stay so that they become recommendations for research by looking at the effect of each item on the postoperative phase ERAS protocol. Conclusion: ERAS intervention in the postoperative phase reduces the length of stay.

Keywords: laparotomy, abdominal surgery, colorectal surgery, ERAS, early mobilization, length of stay.
CONSISTENCY OF PLANNING AND BUDGETING IN EDUCATION: THE CASE IN PONTIANAK CITY
Authors: Kharisma Bayu , Remi Sutyastie S. , Ario Bugi , Suhayli Cecep
Published: March 2021

Human resource is one of key elements in national or regional development and one way to improve the quality of human resource is through education as higher education means better human resource in terms of quality. Education is one of priority programs in Pontianak city and it is obvious that their government has a plan to enhance their human resource quality through education as it is stated in their long-term and medium-term development plans. Hence, this study aims to identify inconsistency trends between planning and budgeting in education-specific programs and activities in Pontianak city’s government in 2019 using quantitative methods through data collection. Consistency analysis is carried out by evaluating several related documents like RPJPD 2005-2025, RPJMD 2015-2019, RKPD 2019, Renstra 2015-2019, Renja 2019, and DPA 2019. The result of the analysis shows that the planning and budgeting documents in education-specific programs and activities in Pontianak city are not fully consistent.
PENGARUH TATA KELOLA PERUSAHAAN TERHADAP KETERBUKAAN RISIKO OPERASIONAL PERUSAHAAN ASURANSI TERBUKA DI INDONESIA PERIODE 2015-2019
Authors: Setiawan Dessen , Yoso Agung , . Christopher , Putri Laras Shintya , Anisah Leandra , Hanggraeni Dewi
Published: March 2021

Perusahaan asuransi menghadapi peluang yang besar seiring perkembangan populasi, pada saat yang bersamaan, pemegang polis senantiasa menuntut keterbukaan informasi dari perusahaan demi membangun kepercayaan pada perusahaan asuransi. Penelitian ini menganalisis pengaruh mekanisme tata kelola perusahaan asuransi di Indonesia terhadap konteks keterbukaan informasi risiko operasional (RO) yang dihadapi, dengan tujuan mengetahui apakah tata kelola perusahaan yang baik menunjukkan keterbukaan informasi RO perusahaan. Sampel yang digunakan dalam penelitian ini sebanyak 15 perusahaan asuransi yang terdaftar dalam Bursa Efek Indonesia pada periode 2015 hingga 2019. Metode yang digunakan adalah analisis korelasi dan regresi multivariat. Hasil penelitian ini menunjukkan bahwa persentase pemegang saham mayoritas perusahaan asuransi signifikan dan berkorelasi negatif terhadap keterbukaan informasi risiko operasional. Selain itu, ukuran suatu perusahaan asuransi signifikan dan berkorelasi positif terhadap keterbukaan informasi risiko operasional. Kesimpulannya adalah semakin besar konsentrasi kepemilikan perusahaan asuransi maka semakin sedikit risiko operasional yang dipublikasikan sehingga prinsip corporate governance khususnya prinsip transparansi tidak dipraktikkan dengan baik. Saran kami untuk perusahaan asuransi yang memiliki konsentrasi kepemilikan perusahaan yang tinggi adalah mempertimbangkan prinsip transparansi dalam pengambilan keputusan yang terkait dengan tata kelola perusahaan yang baik.
PENGARUH LITERASI KEUANGAN TERHADAP PERILAKU KEUANGAN MAHASISWA
Authors: Indra Putri Wayan Tari , Sumiari Kadek Nita
Published: March 2021

Having knowledge of financial literacy is a must in order to have a prosperous life. Currently the OJK is working to improve financial inclusion and literacy, especially among students. This step is a form of effort to increase the role of students in the Indonesian economy. As the next generation, a student must have knowledge related to personal financial management. This knowledge will be very useful for students to manage their finances in the future. Four diploma students majoring in Accounting at the Bali State Polytechnic have obtained courses related to finance and investment so that they should have a good level of financial literacy knowledge. The purpose of this research is to examine the effect of financial literacy on student financial behavior. Respondents in this study amounted to 95 people. The data in this study were analyzed using simple linear regression analysis. The results of this study are that there is an influence between financial literacy variables on student financial behavior. The test results show that the better the knowledge or understanding of financial literacy possessed by students, the better the student's ability to implement good financial behavior.
PENGARUH NON PERFORMING LOAN DAN LOAN TO DEPOSIT RATIO TERHADAP RETURN ON ASSETS PADA BANK BUMN PERIODE 2009-2019
Authors: Setiyani Suci Cicih Catur , Manda Gusganda Suria
Published: March 2021

Penelitian ini bertujuan untuk mengetahui pengaruh NPL dan LDR pada ROA pada Bank BUMN yang terdaftar di Bursa Efek Indonesia (BEI) periode 2009-2019. Data yang dipakai dalam penelitian ini yaitu data sekunder berupa kuantitatif yang didapatkan dari laporan tahunan Bank BUMN. Teknik pengambilan sampel menggunakan sampel jenuh, sehingga jumlah observasi sebanyak 4 Bank dan sampel yang didapat berjumlah 44 sampel. Metode dalam penelitian ini menggunakan analisis inferensial. Teknik analisis menggunakan analisis regresi linier berganda untuk mengetahui pengaruh antara NPL dan LDR terhadap ROA dengan menggunakan SPSS 25. Hasil Uji parsial menyatakan NPL memiliki nilai sig. 0,000 < 0,05 dan thitung -4,602 > ttabel 2,01954, artinya NPL berpengaruh negatif dan signifikan terhadap ROA. LDR memiliki nilai sig. 0,002 < 0,05 dan thitung -3,299 > ttabel 2,01954, artinya LDR berpengaruh negatif dan signifikan terhadap ROA. Secara simultan, NPL dan LDR bepengaruh signifikan terhadap ROA dengan nilai Sig. = 0,000.
Rancangan Sistem Pengingat Laporan Iranian Optical Distribution Purpose (ODP)
Authors: Sutanegara Made Dimas Dwi , Adi Pramartha Cokorda Rai
Published: March 2021

PT. Telkom Indonesia is a State-Owned Enterprise (BUMN) that provides the largest telecommunications and network services in Indonesia. Data Access Management (DAMAN) is one of the divisions whose task is to update SISKA data, purify network data, and generate Iranian Optical Distribution Purpose (ODP). ODP functions as a protection or place for fiber optic cables at each Telkom pole. ODP can be viewed through the starclik website, for ODP that is not visible on the platform it could be because full ODP or ODP data is not correct on the server, due to the possibility that the field staff did not report the latest data to the division. So that it requires an ODP reporting reminder system to reduce errors that do not arise from ODP.
Pengembangan Aplikasi M-Transaksi Kas Keliling Nasabah LPD Gianyar
Authors: Wijaya Wahyu Septian , Adi Pramartha Cokorda Rai
Published: March 2021

The ease of accessing information becomes a very important thing and is a necessity in the digital era now. Currently, collectors of Village Credit Institutions (LPDs) carry out their activities manually, for example recording and accessing information on savings accounts for customers. The development of digital technology has been very rapid, so the collectors want their work to be facilitated by the presence of a digital application that can later help them in activities related to customers and vice versa. The problem that is often faced by collectors is that often the collectors are wrong in recording the savings of their customers. In addition, the loss of books is also another serious problem faced by LPD collectors. And so that the problem can be resolved, a digital application is needed that is expected to facilitate the business processes that have been running on the LPD.
SISTEM AKTIVITAS HARIAN PEGAWAI BERBASIS WEB
Authors: Sri Devi Ni Komang , Bayu Atmaja Darmawan I Dewa Made
Published: March 2021

Badan Kepegawaian dan Pengembangan Sumber Daya Manusia atau disingkat BKPSDM Kabupaten Gianyar merupakan suatu instansi pemerintahan yang memiliki fungsi utama melayani administrasi kepegawaian di lingkungan Pemkab Gianyar. Dalam aktivitas sehari-hari para pegawai berkewajiban membuat laporan kerja harian, namun pengerjaannya masih bersifat manual dengan menggunakan office excel yang memakan waktu cukup lama. Diperlukan suatu sistem untuk menangani hal tersebut agar memudahkan pegawai membuat serta mencetak laporan kerja hariannya. Sistem ini dibangun menggunakan HTML, PHP, CSS dan PHPMyAdmin untuk manajemen basis data MySQL. Pengujian sistem dengan metode black box dimaksudkan untuk menguji kesesuaian elemen-elemen perangkat lunak yang dibuat. 

Kata Kunci: Sistem, Basis Data, HTML, PHP, Black box.
Pengembangan Sistem Inventory Control Pada Perusahaan PT Alam Indah Utama
Authors: Karsten Julian Seph , Eka Karyawati A. A. Istri Ngurah
Published: March 2021

Alam Indah Utama are official pertamina lubricant dealer in bali. Alam Indah Utama moves in lubricant distribution on pertamina oil. Alam Indah utama as a official dealer had an advantages to buy the oil direct from Pertamina. Alam Indah Utama used system that pertamina gave and the second system are internal system. And in this journal will talk about improving the Alam Indah Utama’s internal inventory stock system. With hope can make the internal system that can show the stocks, customer, supplier and past transaction.
Pengembangan Aplikasi Human Resources Management System PT. Omnia Media
Authors: Siddarta Wahyu , Adi Pramartha Cokorda Rai
Published: March 2021

Management sumber daya manusia (human resources management) merupakan sesuatu yang sangat penting di dalam suatu perusahaan. Tujuan utama dari management sumber daya manusia adalah untuk memaksimalkan setiap individu secara efektif, sehingga tujuan bersama dapat dicapai. Namun di dalam pelaksanaannya, management sumber daya manusia juga memerlukan sumber daya manusia, dimana akan meningkatkan pengeluaran dari perusahaan. Untuk meminimalisasi pengeluaran tersebut, dilakukan pembuatan sistem management sumber daya manusia (human resources management system) dimana proses management sumber daya manusia diharapkan dapat di-otomatisasi sehingga memerlukan sumber daya manusia yang lebih sedikit, dan mengurangi kesalahan yang dapat terjadi jika dilakukan oleh manusia. Pemetaan kebutuhan user dilakukan dengan proses wawancara terhadap manager human resources department PT. Omnia Media ( Blockchain zoo).
Sistem Informasi Pemasaran Property CV. Hoki Jaya Property
Authors: Ariyawan Made Dwi , Rahning Putri Luh Arida Ayu
Published: March 2021

CV. Hoki Jaya Property merupakan suatu perusahaan yang memberikan jasa design property, borongan rumah dan service. CV. Hoki Jaya Property mempunyai visi membuat bangunan terkonsep dan berkualitas. Bangunan berkualitas dengan harga yang terjangkau membuat orang-orang tertarik untuk menggunakan jasa dari HJP (Hoki Jaya Property). Tidak hanya menjual rumah berkualitas, HJP juga memberikan jasa renovasi rumah dan design rumah. Namun, kendala yang dialami perusahaan adalah kesulitan dalam memasarkan property atau rumah secara detail dan luas. Maka dari itu, penulis melakukan Praktek Kerja Lapangan di CV. Hoki Jaya Property guna membangun dan mengembangkan sebuah website Sistem Informasi Pemasaran Property dengan harapan dapat membantu perusahaan dalam memasarkan properti secara detail dan dapat dijangkau oleh masyarakat luas serta meningkatkan kuantitas penjualan properti.
RANCANG BANGUN WEBSITE ARSIP AKTIVITAS HARIAN PEGAWAI BADAN KEPEGAWAIAN DAN PENGEMBANGAN SUMBER DAYA MANUSIA KABUPATEN BADUNG
Authors: Mahendra A.A Riky , Anom Cahyadi Putra I Gst Ngurah
Published: March 2021

Perkembangan teknologi informasi memberikan dampak yang sangat pesat terhadap perkembangan aktivitas manusia, salah satu contohnya adalah penerapan teknologi informasi berupa system informasi pada Badan Kepegawaian dan Pengembangan Suber Daya Manusia (BKPSDM) Kabupaten Badung. Sistem informasi tersebut membantu pegawai di BKPSDM khususnya di bidang data untuk membantu pekerjaan mereka. Namun salah satu permasalahan yang terjadi di BKPSDM di bidang data adalah para pegawai masih mencari nomer map pegawai masih manual dengan cara menanyakan NIP pegawai dan mencari nomer map pegawai dengan melihat hardcopy yang sudah ada di dalam lemari. Sehingga waktu yang dibutuhkan untuk mencari nomer map pegawai cukup lama sehingga waktu untuk mengerjakan tugas yang lain lumayan terkuras. Dari permasalahan tersebut penulis membuat solusi yaitu dengan membuat sistem informasi yang bisa menari nomer map kepegawaian dengan hanya memasukkan NIP pada sistem yang diberi nama E-arsip Kepegawaian. Sistem informasi ini juga bisa import data kepegawaian dengam format file .xlsx dan export data kepegawaian ke format file.xls. Sistem ini dibangun menggunakan framework CodeIgniter (CI) dengan backend php dan database MySql.
Rancang Sistem Notifikasi Dan Pelaporan Iranian Optical Distribution Purpose Berbasis Mobile
Authors: Prianta I Made Yoga , Bayu Atmaja Darmawan I Dewa Made
Published: March 2021

PT. Telkom Indonesia adalah Badan Usaha Milik Negara (BUMN) yang menyediakan layanan telekomunikasi dan jaringan yang terbesar di Indonesia. PT Telkom Indonesia berawal dari sebuah perusahaan swasta yang menyediakan layanan pos dan telegram. Data Akses Management(DAMAN) Merupakan salah satu bagian divisi yang bertugas purifikasi data jaringan, Updating data SISKA, Updating gambar skematik, memunculkan ODP (Iranian Optical Distribution Purpose). ODP yang tidak muncul bisa terjadi karena kesalahan komunikasi antara tim di lapangan dengan divisi daman, sehingga data di ODP terkadang belum sesuai dengan data yang ada di pusat. Dari permasalahan tersebut penulis ingin membuat sebuah aplikasi mobile yang bertugas memberikan notifikasi dan pelaporan hasil kerja.Kata kunci: ODP, aplikasi mobile
Perancangan Sistem Chick Maintenance Cycle Menggunakan ERP Pada PT Charoen Pockphand
Authors: Liana Laurensia , Supriana I Wayan
Published: March 2021

The development of the world of computers and information technology has been very rapid in recent years. A company needs an information system that can accommodate various needs of the company in carrying out business processes. With the application of information systems to companies, business processes can run more smoothly and faster. PT. Charoen Pockphand Indonesia wants to create a new system based on an existing system using an ERP or Enterprises Planning Resource. ERP was chosen because it has a wide operating area of functionality, namely Marketing and Sales, Supply Chain Management, Accounts and Finance, and Human Resources.
Syllabification of Balinese Words Using the Syllabification Algorithm
Authors: Putra Gede Bagus Prawira , Sanjaya ER Ngurah Agus
Published: March 2021

Abstract

This research discusses the syllabification of Balinese words. The syllabification of Balinese words is necessary in determining padalingsa in pupuh. In order to be able to develop the application of technology in the field of pupuh literary, a system that can automatically find the correct division of a Balinese word into syllabels is required. Several studies have been conducted on the syllabification Spanish and Sinhala language using rule-based approach. Both of the studies achieved good accuracy score. Thus, in this research we apply the rule-based syllabification approach on Balinese words. The data used in this study were 257 Balinese words in which the system managed to correctly divide the word as many as 244 and obtained an accuracy score of 94.94%.

Keywords: Syllabification Algorithm, Word, Balinese, Word Syllabification, Rule-based
Customer Segmentation Using RFM Model
Authors: Hendrawan Made Chandra , Hendra Suputra I Putu Gede
Published: March 2021

At the time of the ASEAN Economic Community (MEA), Indonesia was selected by several companies from other countries to sell its products, including overseas paint companies. Therefore, the increasingly fierce market competition business is unlikely to focus solely on products sold, but it is also important to pay attention to the process of managing customer relationships with retailers. Segmentation is an early process that knows which customers can be sustained. In segmentation, customers who have certain similarities will be grouped into one.

Customer segmentation is a model built in grouping customers according to certain standards to be used as a variable grouping. Customers will be the same group if they have certain similarities, while different groups or segments are customers who have different characteristics.
Designing a Computer Network in Building a Smart School with Case Study of SMA Negeri 1 Kediri
Authors: Wijaya Ni Putu Ega Meiliana , Ari Mogi I Komang
Published: March 2021

Smart school is a technology-based school concept used in the teaching and learning process in the classroom. The use of educational technology includes an integrated system that assists the educational community in carrying out their respective functions with the aim of developing the potential of students. The use of technology in the field of education is expected to help and facilitate students and schools in conducting learning so that technology is able to facilitate and solve problems in learning.

In building smart schools, it is also necessary to design technology developed in technology. The concept of network development that will be used is to use the Top-Down method and the topology used is to use ring topology and star topology. With the development of smart schools, it is expected that education using technology will continue to develop.
Comparison of Use of Music Content (Tempo) and User Context (Mood) Features On Classification of Music Genre
Authors: Prasetya Putu Rikky Mahendra , Mastrika Giri Gst. Ayu Vida
Published: March 2021

The development of technology in the current era in the field of multimedia, music is not just entertainment or pleasure. Nowadays, online music growth is greatly increasing, namely, music can be classified by genre. The music genre is the grouping of music according to their resemblance to each other. In previous studies, the system was built with Naive Bayes Classifier which is useful for predicting songs based on the lyrics of the song. In our study, we used a dataset that was divided into several genera, namely Blues, Electronic, R & B, Christian, Hip Hop / Rap, Rock, Country, Jazz, Ska, Dance, Pop, and Soul which obtained the accuracy of Music Content of 45 % while for Context Users get an accuracy of 60%.

Keywords : Genre, Naive Bayes, Music Content, User Context
Fast Independent Component Analysis (FastICA) in Separating Vocals and Instruments in the Art of Geguntangan
Authors: Putra Angga Pramana , Arta Wibawa I Gede
Published: March 2021

Geguntangan is pesantian in religious ceremonies in Bali accompanied by gamelan music. The human sense of hearing tends to have limitations, which causes not all vocals mixed with gamelan to be heard clearly. Therefore we need a system that can be used to separate vocals with gamelan in the geguntangan. Separation of sound sources is categorized as Blind Source Separation (BSS) or also called Blind Signal Separation, which means an unknown source. The algorithm used to handle BSS is the Fast Independent Component Analysis (FastICA) algorithm with a focus on separating the sound signal in a wav-format sound file. FastICA algorithm is used for the sound separation process with the value parameter used is Mean Square Error (MSE). From the simulation results show the results of MSE calculations using the mixing matrix [0.3816, 0.8678], [0.8534, -0.5853] obtained the results for the FastICA method, the MSE value is 3.60 x 10-5 for the vocal and 1.71 x 10-6 for the instrument.
Lemmatization in Balinese Language
Authors: Purnajiwa Arimbawa I Gede Angga , Sanjaya ER Ngurah Agus
Published: March 2021

Lemmatization is a process to extracting root word from an affixed word with the aim of reducing variations of the word into the root word. Previous researches on extraction of root word in Balinese Language has been done with rule- based methods to remove affixes from words. The weakness of the rule-based method is that it must comply with the set of rules provided. However, writings in Balinese often contain typographical errors because speakers tend to write words according to how the word is spoken instead of following the correct rules. In this research, we apply the Levenshtein distance method to overcome the aforementioned shortcoming. After all the rules applied to a given word fail, the Leven- shtein distance method is used to list all words that are ”close”. Next, we select the closest word as the root word of the given input. Based on the experiments, our proposed method achieved an accuracy of 96.01 %.
The Voice Classification Based on Gender Using Backpropagation and K-Means Clustering Algorithm
Authors: Khatami Maula , Gede Suhartana I Ketut
Published: March 2021

Sound is the identity of all living creature, including Humans. With voice we can do socialize, call people, ask questions, communicate, and even be able to help us to recognize the sex of the person who makes the sound. Nowadays, knowing gender through sound cannot only be done by humans but through a computer. Voice classification using a computer shows increasingly sophisticated technology. Of course this technological advance can also help in terms of security, where the voice can be a key or password in a certain confidentiality. In this study the focus of sound recordings is classified according to the sex of men and women by using the Backpropagation algorithm for training data, then Mel Frequency Cepstral Coefficients (MFCC) will process sound data and get features, and the K-Means Clustering algorithm will classify sound data already processed. The dataset used here is in the form of male and female voice recordings obtained from YouTube videos that have been separated by video sections. There are each 10 male and female voice files for training. As for testing, there are several male and female voice files that are placed in separate folders.
Data warehouse model for population registration in Kerambitan village Tabanan Regency
Authors: Putra Fathiyarizq Mahendra , Gede Dwidasmara Ida Bagus
Published: March 2021

Kerambitan village is one of the 15 villages in Kerambitan sub-district, Tabanan regency, Kerambitan village has 7 service hamlets. Kerambitan village population has more than 3,338 inhabitants consisting of 1,700 men and 1,638 women with a sex ratio of 103.79. . To realize good governance, it needs to be recorded well so that the information can be utilized by related agencies which can be used for receiving assistance.

During this time the process of recording population events such as recording the receipt of assistance is done manually where the information is done in tabular form so it does not clearly describe the respective information groups.

Data warehouse (DW or DWH), also known as enterprise data warehouse (EDW), is a system used for reporting and analyzing data, and is considered a core component of business intelligence, The purpose of building a data warehouse is to provide a system that allows the right data to reach the right end user at the right time. Thus, the main purpose of implementing this data warehouse system is to provide relevant and timely information in an easily understood format so that service decisions to the public can be made more efficiently and effectively.

the purpose of this research is to form a data warehouse model scheme of population records owned by kerambitan village government and through modeling this data warehouse also provides reliable information from a collection of data, in addition this research also retrieves some information from the data warehouse in build based on kerambitan village population records

in this study I chose to use the fact constellation scheme because there are fact tables that are interconnected with dimension tables and also fact tables that are related to other fact tables.

The design model of the data warehouse is designed based on 3 excel table files, each of which has 1 table from the Government of Kerambitan Villages. In this case, 3 reports are proposed to be made based on the query results from the data warehouse.

Through the application of a data warehouse that was formed, the executive or government can conduct analysis of the reports generated based on various dimensions that exist.
Design and Development of Poultry Disease Classification with Certainty Factor Method
Authors: Panji Palguna I Gusti Agung Ngurah , Astuti Luh Gede
Published: March 2021

Expert systems in organizations aimed at adding value, increasing productivity and managerial areas that can draw conclusions quickly. Like with organizations that conduct livestock business that are very promising but necessary high vigilance against disease as well as highly poultry susceptible to various types of diseases caused by viruses or bacteria. To know the disease quickly made a system that is useful for detecting, so breeders can check their poultry without seeing a veterinarian for early detection. Permanent Veterinarian required for further treatment.
Virtual Hybrid Synthesizer Application
Authors: Yoga I Putu Harta , Giri, S.Kom., M.Cs. Gst. Ayu Vida Mastrika
Published: March 2021

Hybrid synthesizers can be syntheses with digital or analog signals on a hardware device. In this article hybrid means make a virtual digital synthesis which combines several synthesis methods. The method used is the synthesis method of additive, substractive, and amplitude modulation (AM). Where the initial signal is an oscillator by making waves with the form Sinusoide Wave, Square Wave and Saw Tooth Wave. This virtual synthesis produces sound that has the same fundamental frequency as the fundamental frequency of notes.

Keywords: Hibrid Synthesizer, Additive, Substractive, Amplitude Modulation
Implementasi Aplikasi Enkripsi Dan Dekripsi Objek 3 Dimensi Menggunakan Algoritma Blowfish
Authors: Nuboba Barneci Henderika , Anom Cahyadi Putra I Gst Ngurah , Gede Suhartana I Ketut
Published: March 2021

Kemajuan Teknologi Digital telah mempengaruhi cara berpikir dalam desain pada Arsitektur. Sekarang banyak Arsitek yang menggunakan software tidak hanya sebagai alat menggambar objek 2 dimensi tetapi telah berkembang menjadi alat untuk menggambar objek 3 dimensi (modeling) dan presentasi multimedia. 3 dimensi modeling telah menjadi bagian yang tak terpisahkan dalam proses desain arsitektur. 3 dimensi semakin sering digunakan karena didapati informasi secara utuh dan akurat sesuai keadaan nyata. Dengan begitu banyaknya perkembangan yang terjadi di dunia arsitektur, keamanan pada objek 3 dimensi sangat dibutuhkan mengingat telah terjadi banyak kasus plagiarisme desain arsitektur.

Berdasarkan hasil survey yang dilakukan di 72 Perguruan Tinggi di Indonesia oleh Tim Alumni Reference Group (ARG), disebutkan bahwa masih banyak yang belum mengetahui dan menyadari tentang plagiarisme sehingga mereka sering tidak menyadari jika telah melakukan tindakan plagiarisme, selain itu juga masih adanya mindset atau persepsi yang keliru dan menganggap bahwa mengambil atau mencuri ide, hak cipta dan hak intelektual seseorang bukan merupakan masalah serius atau mungkin sudah lazim (Mochtar, 2014).

Dengan latar belakang di atas, penulis memilih judul "Keamanan Objek 3 Dimensi menggunakan Algoritma Blowfish” dimana penulis mengimplementasikan ilmu kriptografi untuk mengamankan data berupa desain arsitektur objek 3 dimensi agar terhindar dari praktek plagiarism menggunakan algoritma blowfish.

Kata Kunci: kriptografi, enkripsi, dekripsi, objek 3 dimensi, algoritma blowfish
Song Recommendations Based on Artists with Cosine Similarity Algorithms and K-Nearest Neighbor
Authors: Budiman Muhammad Arief , Mastrika Giri Gst. Ayu Vida
Published: March 2021

The development of the music industry is currently growing rapidly, millions of music works continue to be issued by various music artists. As for the technologies also follows these developments, examples are mobile phones applications that have music subscription services, namely Spotify, Joox, GrooveShark, and others. Application-based services are increasingly in demand by users for streaming music, free or paid. In this paper, a music recommendation system is proposed, which the system itself can recommend songs based on the similarity of the artist that the user likes or has heard. This research uses Collaborative Filtering method with Cosine Similarity and K-Nearest Neighbor algorithm. From this research, a system that can recommend songs based on artists who are related to one another is generated.
Deteksi Serangan Denial of Service di Situs Web dengan Wireshark Menggunakan Metode IDS Berbasis Anomali
Authors: Adhana Finandito , Gede Suhartana I Ketut
Published: March 2021

Denial of Service (DoS) attacks are increasingly dangerous. This DoS attack works by sending data packets continuously so that the target being attacked cannot be operated anymore. DoS attacks attack the most websites, thus making the website inaccessible. An anomaly based intrusion detection system (IDS) is a method used to detect suspicious activity in a system or network on the basis of anomaly pattern arising from such interference. Wireshark is software used to analyze network traffic packets that have various kinds of tools for network professionals.
Forensic Analysis of Telegram Desktop-based Applications using the National Institute of Justice (NIJ) Method
Authors: Guna Wicaksana I Gusti Ngurah , Gede Suhartana I Ketut
Published: March 2021

Abstract

The development of telecommunications has increased very rapidly since the internet-based instant messaging service has spread rapidly to Indonesia. Telegram application is one of the growing and well-known application services in Indonesia, Desktop or smartphone-based Telegram applications, it is very possible to use digital crimes by using services, user personal information, or by hacking the Telegram application. This study explains the stages of investigation of cybercrime cases that occurred in desktop-based telegram. The method used for this research refers to the stage of investigation that was carried out in previous studies, namely using the National Institute of Justice (NIJ) method with the stages of the preparation stage, the collection stage, the examination stage, the analysis stage, and the reporting stage. The media used in this study is a desktop-based Telegram application that is synchronized with an Android-based Telegram. In this process, the location of the log file, cache, and digital proof image file was obtained in the conversation of a desktop-based Telegram application. Digital forensic evidence obtained is expected to strengthen evidence of criminal cases in court in the form of digital evidence analysis results.

Keywords: Telecommunications, Digital Forensic, Telegram, Investigation, Cybercrime
Semantic Representation of Balinese Traditional Dance
Authors: Koten Irianto Liko , Pramartha Cokorda Rai Adi
Published: March 2021

Bali is an island in Indonesia that is rich in culture, for example, is a traditional dance. The traditional dance performance is diverse from one village to another village in Bali. The traditional Balinese dance knowledge should be captured dan documented well in a digital form so that it can be shared easily to different people and generation across the world. The use of ontology as an information representation technique is the preferred solution in this matter because ontology can be used to enhance the development of semantic applications, especially when dealing with semantic webs. In this project, the ontology was built using Protege ontology development tool.  We follow the methontology ontology development method where this methodology clearly describes each of its activity. In this study, we focus to describe two variants of Balinese traditional dance (Barong dance and Pendet dance). In the future, we expect that more type of dance can be documented using our proposed ontology.

Keywords: Balinese Dance, Ontology,Semantic Web
Designing Computer Network Subnetting with School Objects Using Cisco Packet Tracer 6.1
Authors: Putri Desak putu Sekar merta , Ari Mogi I Komang
Published: March 2021

The internet is one part that can not be released in human life today. Every year internet users both in Indonesia and in the world have increased. This increase in internet users causes the availability of IP to decrease. That is because users who will use the internet must have an IP. The availability of IPv4 is currently decreasing. To overcome these problems, IPv6 was made which was announced to replace the existence of IPv4. But another solution that can be taken is using subnetting. With subnetting, IP can be used optimally according to the needs of the host or can make efficient use of IP. And subnetting also functions to avoid congestion resulting from too many hosts on the physical network. And to connect between subnets, routing will be done.
Automatic Essay Answer Rating Using the Text Similarity Method
Authors: Abimanyu Cokorda Gde , Sanjaya ER Ngurah Agus
Published: March 2021

Assesments are required in order to evaluate the performance of students. A typical method of learning assesments in class is by examination. An essay type exam is a form of assesment where there are no answer choices provided and generally applied to measure the students’ level of understanding of the knowledge. To asses the quality of the essay answers manually is a subjective task as well as time consuming. In this reasearch, we propose an automatic method of assessing essay answers by applying the cosine similarity method.

In this research, the students’ answer document and the correct answer document are used as input. Both documents are then preprocessed and represented in vector form using word2vec. We then measure the similarity between the documents by calculating the cosine similarity of the two vectors. The cosine similarity values are converted back again and used as the final grades. The results of the final grade are then compared to the values given by the instructor to show accuracy of the proposed approach.
Ontology-based Approach for Klungkung Royal Family
Authors: Ganeswara Putu Ryan , Pramartha Cokorda Rai Adi
Published: March 2021

Kawitan genealogies form to strengthen family relations by staying in line with their ties. Today, there are many Balinese Hindu searches their heritance. This due to no explicit documentation about the family tree and the Balinese Hindu relies on people memories. To overcome this problem, we develop the ontology of the Family Tree Naritan Kawarya Narem Dalem Benculuk Tegeh Kori with Forward Chaining and Backward Chaining Search Method can overcome problems related to marriage lineage. By using the structured data in the form of an ontology, the computer agents and human will be able to find information related to their genealogy easily, so that there are no more people who are confused with their heritance. The ontology evaluation was conducted on the Nararya Dalem Benculuk Tegeh Kori's family tree. The initial result gave positive feedback toward further development of this ontology.

Keywords : Ontology, Family Tree, Methontology
Pengembangan Back-End Sistem Informasi Program Studi Teknik Informatika FakultasMIPA Universitas Udayana
Authors: Dharmajaya Gede Putra , Arya Kadyanan I Gusti Agung Gede
Published: March 2021

Ilmu Komputer merupakan ilmu terapan dari ilmu-ilmu dasar yang mengalami perkembangan sangat pesat seiring dengan pesatnya perkembangan Ilmu Pengetahuan dan Teknologi (IPTEK). Penguasaan bidang ilmu komputer belakangan ini sangatlah dirasa perlu dalam meningkatkan sumber daya manusia sebagai tuntutan dari perkembangan teknologi. Khususnya dalam mendukung peningkatan kualitas Tridarma Perguruan Tinggi di dalam institusi dan untuk menunjang proses-proses pembangunan masyarakat (daerah dan nasional), bidang ilmu komputer dirasa sangat perlu dikembangkan di Universitas Udayana (UNUD). Jurusan Ilmu Komputer merupakan jurusan di Fakultas MIPA Universitas Udayana yang melaksanakan pelayanan pendidikan mahasiswa di bidang IT. Jurusan Ilmu Komputer memiliki peranan penting untuk meningkatkan pendidikan mahasiswa di bidang IT sehingga dapat diterapkan di kehidupan masyarakat. Mahasiswa yang melaksanakan perkuliahan di Jurusan Ilmu Komputer diberikan program-program tertentu untuk meningkatkan kemampuan mahasiswa dalam penguasaan ilmu yang telah dipelajari selama mengikuti kuliah. Salah satu program jurusan yang wajib diikuti yaitu Praktek Kerja Lapangan (PKL).  Melihat dari permasalahan yang ada di Jurusan Ilmu komputer, PKL jurusan Ilmu Komputer dilaksanakan di jurusan itu sendiri dikarenakan untuk membuat suatu sistem informasi yang bernama SIKI yang dapat digunakan untuk memberikan suatu informasi mengenai semua informasi yang ada di Jurusan Ilmu Komputer.
Pengembangan Bagian Penilaian Pembelajaran Pada Sistem Penjaminan Mutu ProgramStudi Teknik Informatika
Authors: Hendrawan Made Chandra , Karyawati Anak Agung Istri Ngurah Eka
Published: March 2021

Dewasa ini, perkembangan teknologi terjadi dengan sangat pesat, hal ini membuat semua hal dapat dikerjakan dan diintegrasikan satu sama lain secara cepat dan mudah. Teknologi yang berkembang demikian kemudian digunakan untuk membantu manusia, sehingga tidak heran pada masa sekarang ini pekerjaan manusia tidak lepas dari penggunaan komputer dan juga koneksi internet untuk dapat saling berkomunikasi serta melakukan pertukaran data. Penggunaan teknologi informasi yang baik dapat mempercepat dan mempermudah pekerjaan manusia sumber daya manusia yang ada pun dapat dimanfaatkan dengan lebih efisien.Mahasiswa yang melaksanakan perkuliahan di Jurusan Ilmu Komputer diberikan program-program tertentu untuk meningkatkan kemampuan mahasiswa dalam penguasaan ilmu yang telah dipelajari selama mengikuti kuliah. Untuk menunjang program akademis di Program Studi Teknik Informatika tentunya tidak luput dari sarana prasarana yang menunjang. Terutama dibutuhkannya suatu sistem yang dapat mempermudah dosen untuk membagikan materi pelajaran kepada mahasiswa. Dalam system, dosen dapat menambahkan , mengedit, menghapus materi setiap matakuliah, mengupload file materi, kontrak kuliah, RPS, soal dan nilai quiz, uts maupun uas. Sedangkan, admin (pegawai) dapat menambahkan, mengedit, dan menghapus data yang ada jika terjadi penambahan ataupun pengurangan terhadap matakuliah, data dosen,semester, dan angkatan. Dengan adanya Sistem Penjaminan Mutu ini diharapkan dapat bermanfaat dalam memberikan informasi akademis terutama mengenai matakuliah,materi, dan nilai yang akan disampaikan oleh dosen.
Optimasi Pembobotan Jaringan Syaraf Tiruan Pada Klasifikasi Kanker Payudara
Authors: Prebiana Kiki Dwi , Santi Astawa I Gede , Supriana I Wayan
Published: March 2021

Klasifikasi adalah proses membedakan sekumpulan model kedalam beberapa kelas data. Salah satu algoritma yang dapat digunakan untuk proses klasifikasi adalah Jaringan Syaraf Tiruan. Salah satu proses yang memepengaruhi proses Jaringan Syaraf Tiruan adalah proses pembobotan jaringan antar neuron pada Jaringan Syaraf Tiruan. Terdapat beberapa metode yang dapat digunakan dalam proses pencarian bobot, seperti algoritma genetika dan Particle Swarm Optimization atau PSO. PSO adalah salah satu metode optimasi pada Artificle Intelegent. Pada penelitian ini akan dilakukan proses pengujian pengaruh parameter PSO terhadap hasil akurasi yang diperoleh oleh Jaringan Syaraf Tiruan. Dari penelitian yang telah dilakukan nilai parameter terbaik PSO yang digunakan adalah w=0.8, c1=1.5, dan c2 = 2.2. Dari penelitian tersebut menunjukan bahwa optimasi pebobotan dengan Particle Swarm Optimization (PSO) dapat meningkatkan rata – rata nilai akurasi sebesar 0.5%.
Quantization-Based Novel Extraction Method Of EEG Signal For Classification
Authors: Angreni Ni Putu Dewi , Muliantara Agus , Christian Yuriko
Published: March 2021

In the pattern recognition field, features or object’s characteristics are one of the key points to recognizing them. The feature extraction process will see that objects have different features, where the features are obtained through the analysis process from the extractor, such as for data statistics, energy, power spectral, and so on. This study aims to enrich the point of view of EEG signal features by quantifying the signal. It will be analyzed whether the features obtained by quantization represent the EEG signal object from different viewpoints. This research uses the DEAP dataset, with the result being a feature vector that will be included in the artificial neural network classifier using the Keras library. The experiment carried out is to try to enter quantized and Non-quantized feature vectors into the classifier. As a result, the accuracy of the classification process with the quantization vector was 75%, and the accuracy in the Non-quantized vector classification process was only 58%. These results indicate the EEG signal quantization feature can represent the EEG signal object.

Keywords: EEG signal, quantization, DEAP, feature extraction, pattern recognition
Computer Network Design Using PPDIOO Method With Case Study of SMA Negeri 1 Kunir
Authors: Yuliana Dela , Mogi I Komang Ari
Published: March 2021

Technological developments are very beneficial for the world of education, such as the use of the internet in finding and managing information and can help in the teaching and learning process. Before using the internet, there was a computer network that played an important role in it. In building a computer network, a concept or method is needed in designing it, and here the PPDIOO method will be used and uses two types of network topologies, namely star and ring topologies. With the design of this computer network, it can help schools in the teaching and learning process and can improve the quality of teaching, the quality of knowledge and the quality of the abilities of students and teachers.

Keywords: Education, Technology, Computer Networks, PPDIOO Method, Network Topology
A Case Based Reasoning System For Recommendation Of Restaurant In Jimbaran Using K-Nearest Neighbor
Authors: Mahardika I Gede Teguh , Supriana I Wayan
Published: March 2021

Culinary is one of the favorite businesses today. The number of considerations to choose a restaurant or place to visit becomes one of the factors that is difficult to determine the restaurant or place to eat. To get the desired place to eat advice, one needs a recommendation system. Decisions made by the recommendation system can be used as a reference to determine the choice of restaurants. One method that can be used to build a recommendation system is Case Based Reasoning. The Case Based Reasoning (CBR) method mimics human ability to solve a problem or cases. The retrieval process is the most important stage, because at this stage the search for a solution for a new case is carried out. The study used the K-Nearest Neighbor method to find closeness between new cases and case bases. With the selection of features used as domains in the system, the results of recommendations presented can be more suggestive and accurate. The system successfully provides complex recommendations based on the type and type of food entered by the user. Based on blackbox testing, the system has features that can be used and function properly according to the purpose of creating the system.
Implementation Of The K-Nearest Neighbor (KNN) Algorithm For Classification Of Obesity Levels
Authors: Dewi Ayu Made Surya Indra , Dwidasmara Ida Bagus Gede
Published: March 2021

Obesity or overweight is a health problem that can affect anyone. In research in several journals, it was found that obesity can be influenced by many factors, but the most dominant factors are lifestyle and diet. Obesity should not only be considered as a consequence of an unhealthy lifestyle, but obesity is a disease that can lead to other dangerous diseases. Therefore, it is important to know the level of obesity in order to take early prevention.

To determine the level of obesity, a classification method is used, namely K-Nearest Neighbor (KNN) to classify the level of obesity. In this study, classification was carried out with 16 test parameters, namely Gender, Age, Height, Weight, Family History With Overweight, FAVC, FCVC, NCP, CAEC, Smoke, CH2O, SCC, FAF, TUE, CALC, Mtrans and 1 class attribute, namely Nobesity. From tests carried out using the KNN algorithm, the results obtained are 78.98% accuracy with a value of k = 2.

Keywords: Obesity, KNN, Classification
Endek Classification Based On GLCM Using Artificial Neural Networks with Adam Optimization
Authors: Guna Putu Wahyu Tirta , Putri Luh Arida Ayu Ayu Rahning
Published: March 2021

Not many people know that endek cloth itself has 4 known variances. .Nowadays. Computing and classification algorithm can be implemented to solve classification problem with respect to the features data as input. We can use this computing power to digitalize these endek pattern. The features extraction algorithm used in this research is GLCM. Where these data will act as input for the neural network model later. There is a lot of optimizer algorithm to use in back propagation phase. In this research we  prefer to use adam which is one of the newest and most popular optimizer algorithm. To compare its performace we also use SGD which is older and popular optimizer algorithm. Later we find that adam algorithm generate 33% accuracy which is better than what SGD algorithm give, it is 23% accuracy. Longer epoch also give affect for overall model accuracy.
Building Balinese Part-of-Speech Tagger Using Hidden Markov Model (HMM)
Authors: Pradiptha I Gde Made Hendra , Sanjaya ER Ngurah Agus
Published: March 2021

Part-of-Speech tagging or word class labeling is a process for labeling a word class in a word in a sentence. Previous research on POS Tagger, especially for Indonesian, has been done using various approaches and obtained high accuracy values. However, not many researchers have built POS Tagger for Balinese. In this article, we are interested in building a POS Tagger for Balinese using a probabilistic approach, specifically the Hidden Markov Model (HMM). HMM is selected to deal with ambiguity since it gives higher accuracy and fast processing time. We used k-fold cross-validation (with k = 10) and tagged corpus around 3669 tokens with 21 tags. Based on the experiments conducted, the HMM method obtained an accuracy of 68.56%.