Articles
Information System For Web Based-Report Household Violence In Denpasar
Yoga Divayana;
Linawati Linawati;
N.M.A.E.D. Wirastuti;
Luh Ika Dhivtyasari Suryani
Journal of Electrical, Electronics and Informatics Vol 2 No 1 (2018): JEEI (February 2018)
Publisher : Institute for Research and Community Services Udayana University
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DOI: 10.24843/JEEI.2018.v02.i01.p04
Domestic violence is the most common case in the community. Women and children are victims of domestic violence. In Denpasar, Indonesia, currently, data collection system of victims of domestic violence (KDRT) is conducted by the Women's Empowerment and Child Protection Agency. It is still has some limitations because it is operating manually. Through this web-based data collection system of domestic violence, a complaint report on domestic violence can be done digitally so it does not need to report manually to the authorities. In this system, the victims will be given freedom to show or hide their identity. This system receives input filled form of violent reports; next, the complaints report can be known by others (not admin) anonymously. After the complaint report get into in the system, it will be done the next process which is verification. The results of the verification process will determine the validity of complaint reports. After passing the verification process, report data will be recorded in the system and will be done the formulation of follow-up to the action of the case by the legislation authorities.
Implementation of Association Rules to Manage Cross-Selling and Up-Selling for IT Shop
I Wayan Andis Indrawan;
Komang Oka Saputra;
Linawati Linawati
International Journal of Engineering and Emerging Technology Vol 4 No 2 (2019): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University
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DOI: 10.24843/IJEET.2019.v04.i02.p11
Nowadays sales marketing strategies in showrooms are increasingly innovative. Utilizing information technology, especially data mining to obtain customer habits in shopping. Customer's shopping habits are recorded in each transaction and stored in a data warehouse. This transaction data is actually very valuable and can be elaborated to be used to manage cross selling and up selling in sales stores, including IT showroom stores. IT Showroom stores usually have unusual or unexpected customers shopping for IT needs. Therefore this potential can be exploited for analysis to get behavior from customers by analyzing transactions in a certain period of time using the Rapidminer application. Rapidminer is a fit application to solve this problem because it is equipped with various algorithms, one of which is association rules. Association rules are algorithms that can be used to analyze data and produce recommendations for cross selling and up selling.
Kombinasi Protokol Routing OSPF dan BGP dengan VRRP, HSRP, dan GLBP
Debbi Irfan Mudhoep;
Linawati;
Oka Saputra
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 1: Februari 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada
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DOI: 10.22146/jnteti.v10i1.942
Vocational High Schools as educational institution that adopt vocation based curriculum get the advantages and benefits of the development of the teaching factory. Teaching factory is a product and business oriented concept of learning in response to the challenges and development of the industry. However, during the pandemic period, teaching factory management faces many obstacles, one of which is in the performance of the network. The current network uses static routing network protocol which has no backup line or track. It is, therefore, suggested to apply dynamic routing OSPF and BGP with the VRRP, HSRP, and the GLBP workload method as the backup line which is measured through the throughput, delay, and packet loss parameter, for its Quality of Service (QoS). The research scenario stage applies each routing protocol to each performance method, so that it can be measured to obtain the expected QoS results at end users. The best result that will be recommended is routing OSPF by VRRP method because it has less than 1 second time comparison when there is a network failure. It is shown in the QoS result of 3.96, which shows that it is very satistactory compared to others.
Forecasting rupiah exchange rate with learning vector quantization neural network
Linawati Linawati;
Made Sudarma;
I Putu Oka Wisnawa
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 1: April 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v18.i1.pp24-31
The classification technique and data forecasting will probably be one of the techniques that will often be needed in handling or managing big data. So, from that the author analyzes the possible development of the existing algorithms. The purpose is to find possibilities in the use of reliable algorithms in a particular field, then can be adopted and implemented to develop forecasting techniques in the future. Based on these considerations, the authors conducted experiments by applying LVQNN to conduct shortterm forecasting on daily period of the Rupiah exchange rate. The literature that is used as a reference is the discovery of architectural data classification processes that resemble forecasting techniques. So, when there is a combination of Rupiah exchange histories, it is possible to find these combinations into certain classes based on predetermined parameters and historical data combination data and forecast values in the past. In this research the factors chosen as indicators that affect the Rupiah exchange rate are the amount of exports, the amount of imports, the inflation rate and also the world oil price. In this research the highest accuracy value in the testing process for the population reached 99.0991%. The increase in the percentage value of forecasting accuracy is influenced by the composition of the data. In this study the formation of data composition is influenced by distinct data. The selection of parameters which become distinct claused determines how the composition of the data will be formed. If the composition of the data is not correct, the test results will not be good. If the number of weights vector is smaller than the input data, the forecasting accuracy will decrease. Because the weight vector cannot represent data combinations that used during training or testing.
Dynamic Bandwidth Allocation for Internet of Things System Using Elastic Wireless Local Area Network
I Putu Sudharma Yoga;
Gede Sukadarmika;
Linawati Linawati
Jurnal Rekayasa Elektrika Vol 17, No 3 (2021)
Publisher : Universitas Syiah Kuala
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DOI: 10.17529/jre.v17i3.21087
Rapid technological development, triggering various applications development that are increasingly innovative. One of them is the Internet of Things (IoT) system that makes human works easier and more effective. Along with sensor technology development in monitoring and controlling through IoT systems, a mechanism is needed to manage bandwidth so that IoT system can function optimally, especially in buildings designated as public areas. Smart building supported by various integrated sensors to maintain safety and comfort in the area. This study proposes the application of Elastic WLAN as a model for dynamic bandwidth management in IoT systems. In this model, IoT bandwidth changes automatically according to the number of traffic measurements for each IoT connected to the network As an effort to determine the performance of the elastic WLAN mechanism, this study succeeded in developing a prototype IoT device that implements Elastic WLAN on an Access-Point Raspberry Pi by using two temperature sensors placed in separate locations. The system successfully allocates bandwidth to each IoT according to the amount of data input from each temperature sensor installed. The higher the amount of data captured by the sensor, the system will automatically allocate the higher bandwidth to the sensor system, and vice versa.
Dynamic Bandwidth Allocation for Internet of Things System Using Elastic Wireless Local Area Network
I Putu Sudharma Yoga;
Gede Sukadarmika;
Linawati Linawati
Jurnal Rekayasa Elektrika Vol 17, No 3 (2021)
Publisher : Universitas Syiah Kuala
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DOI: 10.17529/jre.v17i3.21087
Rapid technological development, triggering various applications development that are increasingly innovative. One of them is the Internet of Things (IoT) system that makes human works easier and more effective. Along with sensor technology development in monitoring and controlling through IoT systems, a mechanism is needed to manage bandwidth so that IoT system can function optimally, especially in buildings designated as public areas. Smart building supported by various integrated sensors to maintain safety and comfort in the area. This study proposes the application of Elastic WLAN as a model for dynamic bandwidth management in IoT systems. In this model, IoT bandwidth changes automatically according to the number of traffic measurements for each IoT connected to the network As an effort to determine the performance of the elastic WLAN mechanism, this study succeeded in developing a prototype IoT device that implements Elastic WLAN on an Access-Point Raspberry Pi by using two temperature sensors placed in separate locations. The system successfully allocates bandwidth to each IoT according to the amount of data input from each temperature sensor installed. The higher the amount of data captured by the sensor, the system will automatically allocate the higher bandwidth to the sensor system, and vice versa.
Quo Vadis Eksistensi Notaris Syariah Dan Konvensional Dalam Kontrak Bisnis Syariah
Abdul Mughni;
Linawati Linawati
Jurnal Hukum Ekonomi Syariah Vol. 2 No. 1 (2019): Jurnal Hukum Ekonomi Syariah AT-TAHKIM
Publisher : INSTITUT AGAMA ISLAM TAZKIA
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Perkembangan bisnis syariah saat ini sudah semakin maju, sekarang masyarakat muslim sudah semakin peka terhadap hukum syariah. Dengan mayoritas penduduk Indonesia yang mayoritas beragama islam, hal ini menjadi daya tarik tersendiri untuk para pelaku bisnis syariah. Daripada itu kehadiran notaris syariah sangat dibutuhkan di Indonesia saat ini, dengan adanya jaminan kepastian hukum yang tepat didalam bertransaksi syariah. Penelitian ini menggunakan metode pendekatan secara yuridis normatif, dengan menggunakan metode pendekatan secara yuridis normatif, dengan menggunakan teori kepastiann hukum. Sehingga dapat didapatkan analisa, bahwa kenyataan yang ada, masih ada keresahan masyarakat untuk bertransaksi syariah karena belum adanya aturan hukum yang mengatur khusus tentang notaris syariah. Maka kesimpulan yang didapatkan, notaris syariah sangat dibutuhkan.
SYSTEMATIC LITERATURE REVIEW TERHADAP DETERMINAN DAN MODEL KEPATUHAN PAJAK
Linawati, Linawati;
Widyastuti, Tri
Jurnal Akuntansi Dan Bisnis Indonesia (JABISI) Vol 5 No 1 (2024): Jurnal Akuntansi Dan Bisnis Indonesia (JABISI)
Publisher : Program Studi Akuntansi Institut Bisnis dan Informatika (IBI) Kosgoro 1957
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DOI: 10.55122/jabisi.v5i1.1254
Tujuan dari penelitian ini adalah berfokus pada menyajikan rangkuman yang komprehensif tentang pemahaman mendalam tentang Kepatuhan Pajak berdasarkan tinjauan terhadap penelitian difokuskan pada eksplorasi model kepatuhan pajak, teori dan variabel yang diterapkan. Objek riset pada pustaka online, Google Scholar, Mendeley, e-resources dan media online akademik lainnya. Metode riset dengan library risearch dan bersumber dari e-book dan Systematic Literature Review (SLR). Metode yang digunakan dalam penelitian ini adalah penelitian kualitatif dengan pendekatan studi pustaka. Hasil artikel ini adalah metode penelitian terkait kepatuhan pajak dilakukan dominan kuantitatif, pengembangan penelitian dapat dilakukan secara mixed method untuk mengetahui persepsi wajib pajak secara langsung. Teori-teori yang mendasar juga memberikan landasan konseptual yang kuat untuk memahami perilaku kepatuhan pajak. Selain itu, model kepatuhan, seperti model deterrence, social psychology, cooperative compliance, dan responsive regulation, memberikan pandangan yang beragam tentang faktor-faktor yang memengaruhi kepatuhan pajak. Pengembangan penelitian selanjutnya dapat dilakukan secara mixed method untuk mengetahui persepsi wajib pajak lebih mendalam.
Model Manajemen Sumber Daya Manusia Dan Mutu Lulusan di Dayah Modern Yapena Lhokseumawe
Linawati, Linawati;
Mannan, Mannan
Adaara: Jurnal Manajemen Pendidikan Islam Vol. 14 No. 2 (2024): Adaara: Jurnal Manajemen Pendidikan Islam
Publisher : Program Studi Manajemen Pendidikan Islam IAIN Bone
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DOI: 10.30863/ajmpi.v14i2.6578
ABSTRACTThis study aims to identify the stages of the Human Resources Management Model (HRM) at Dayah Modern Yapena Lhokseumawe, including 1) Recruitment Management, 2) Placement Management, 3) Development Management, and 4) The Effect of HR Management on Graduate Quality. The research used descriptive qualitative methods with data collection techniques through observation, interviews, and documentation. The results showed that the recruitment process includes mapping skills needs, closed announcements, oral and written test selection, and work orientation. Placement of educators according to qualifications, and various development programs have been carried out, such as language training and fiqh programs. Internal evaluations are conducted twice a year and externally four times a year, despite workload and budget constraints. The quality of graduates has proven to be very good with many alumni being accepted into reputable universities and student achievements in various competitions.Â
ANALYSES OF BANK PERFORMANCE ON FINANCIAL SYSTEM STABILITY IN INDONESIA
Adenan, Moh;
Linawati, Linawati;
Susanti P, Susanti P;
Qoriah, Ciplis G;
Luthfi, Agus;
Wiryaningtyas, Dwi Perwitasari
Growth Vol 21 No 1 (2023): Mei
Publisher : Relawan Jurnal Indonesia
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DOI: 10.36841/growth-journal.v21i1.2994
Institutions with high risk in their business. Large banks have a close relationship with bank risk. This study aimed to determine the effect of Commercial Bank Business Group with a minimum core capital of Rp. 30 trillion (the 4th CBBG) banks' performance in Indonesia on Indonesia's financial system stability using secondary data for 2005-2020. This study uses a simple panel regression estimation, namely the Common Effect Model, Fixed Effect Model, and Random Effect Model. The results showed that the NPL, LDR and NII, positively affected financial system stability, while the BOPO negative affected.