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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) REKAYASA Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) International Journal of Global Operations Research Abdi-Dharma Jurnal Pengabdian Masyarakat Tapis Berseri SisInfo : Jurnal Sistem Informasi dan Informatika Sainteks: Jurnal Sain dan Teknik In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism) Jurnal Komtika (Komputasi dan Informatika)

Graha Prakarsa

Universitas Informatika Dan Bisnis Indonesia

Author-ID : 1382253

Agriculture, Biological Sciences & Forestry Arts Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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[Retraction] Optimasi Produksi Barang Menggunakan Logika Fuzzy Metode Mamdani Nasution, Vani Maharani; Prakarsa, Graha
Rekayasa Vol 13, No 1: April 2020
Publisher : Universitas Trunojoyo Madura

Following a rigorous, carefully concerns and considered review of the article published in Rekayasa Journal to the article entitled “Optimasi Produksi Barang Menggunakan Logika Fuzzy Metode Mamdani” Vol 13, No 1, pp. 82-87, April 2020 DOI: https://doi.org/10.21107/rekayasa.v13i1.5893The document and its content have been removed from Rekayasa Journal, and reasonable effort should be made to remove all references to this article.

Optimasi Produksi Barang Menggunakan Logika Fuzzy Metode Mamdani Nasution, Vani Maharani; Prakarsa, Graha
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 1 (2020): Januari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i1.1719

Maximum profit gained from maximum sales. Maximum sales means that they can meet the demands. If the products produced by the company is less than requests then the company will lose the opportunity to get maximum profit. Therefore, planning the Amount products in a company is very important in order to meet the market demand precisely and with the appropriate amount. Factors that need to be considered in determining the amount products, such as the demand and supply of old periods. The availability of production goods is still difficult to monitor by the company, because the system is still relying on manual calculations of the company employees, to assist the company in predicting the availability of production goods Effective then used the fuzzy logic calculations. During this time the availability of production goods in Salman Collection is seen from customer request. This makes the company not get the maximum profit because there is no planning the amount of production of goods. This study uses methods with a descriptive approach using the fuzzy logic Mamdani technique. The results of this research is an application of calculation of goods production based on the fuzzy manual calculations of the "logic Mamdani," Built applications can help the company determine the amount of production in accordance with consumer demand so that The demand at Salman Collection is fulfilled and the more optimal the amount that the company will produce.

Pengembangan Sistem Pendukung Keputusan Menggunakan Metode Tsukamoto Graha Prakarsa; Vani Maharani Nasution
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Hanger maintenance process this time based on the circulation from hanger give to the production side. No standard calculation, looking for risk percentage for hanger go into maintenance, become a problem. The hanger must have a standard calculation for percentage value, where the value can provide a clear decision. There is a method in Fuzzy Logic, that the Tsukamoto method, can be utilized in making a decision. This research is based on the problem of how to make a standard calculation, to looking for the risk percentage level for hanger go into maintenance, by applying Fuzzy Logic Tsukamoto method, so that the calculation becomes faster, accurate, and precise. The result from the application of the Tsukamoto method, to find the risk percentage level for hanger enter maintenance, for example at hanger Back Caesar, the resulting level of percentage hanger requirement is 91%, and hanger maintenance risk level 70,375%. The final result shows hanger Back Caesar has a high maintenance risk level (range between 54,6-100%) and well plan maintenance action. Application of Tsukamoto method that has been done shows that to find the risk level percentage for hanger go into maintenance, the first must be looking for output crisp from the percentage level of hanger that needed with the Tsukamoto method.

Perancangan Aplikasi Fuzzy Logic Untuk Prediksi Kasus Positif Covid-19 Menggunakan Metode Tsukamoto Vani Maharani Nasution; Graha Prakarsa
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3338

COVID-19 is a virus that attacks the respiratory system which was first discovered in the Chinese city of Wuhan. This virus spreads very quickly and spreads throughout the world, including Indonesia. West Java is the province with the most positive cases of COVID-19, on May 4, 2020, 193 positive cases were added, and on 28 June 2020 there were 1,396 confirmed cases with an additional 18 patients. The unpredictable increase in positive cases of COVID-19 has led to the unpreparedness of officers in handling this outbreak. The West Java Provincial Health Office acknowledged the lack of Covid-19 handling facilities in 52 regional general hospitals in West Java Province to monitor positive COVID-19 patients, one of which was the lack of isolation rooms. In addition, the quality of the isolation room and personal protective equipment does not meet the standards. Predicting an increase or decrease in cases of positive COVID-19 patients needs to be done, so that there is readiness from the task force team for COVID-19 to deal with the problem of lack of facilities including isolation rooms and personal protective equipment. Fuzzy logic is one of the derivatives of artificial intelligence that is able to predict something. The research was conducted using the fuzzy logic of the Tsukamoto method through several stages including fuzzification, formation of rules, inference, and defuzzification. The results showed an error rate of 4.5% which indicated that predicting covid-19 using the fuzzy logic of the Tsukamoto method showed a high success rate

Penerapan Logika Fuzzy Menggunakan Metode Mamdani Pada Prediksi Jumlah Kasus Positif Covid-19 Graha Prakarsa; Vani Maharani Nasution
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3282

The Covid-19 pandemic has caused many hospitals around the world to experience difficulties both in terms of management and infrastructure advice in providing services because the number of patients soared in a short time so that treatments such as providing services, facilities, and medical personnel were unpredictable. Therefore, we need an application that can predict the number of positive Covid-19 cases 14 days later to help the Covid-19 Handling Acceleration Task Force team in order to provide the right policies for handling the provision of services, facilities, and medical personnel. Fuzzy logic that can be used to analyze Covid-19 problems that contain uncertainty at this time. The research conducted to design the system was obtained from the observation of existing data, in this study using descriptive research methods. The results of this study conclude that the fuzzy logic of the Mamdani method in predicting the number of positive cases of COVID-19 in West Java Province has an error rate of 50.16%. The application of fuzzy logic in predicting the number of positive cases of covid-19 uses the fuzzy logic model of the mamdani method to predict the number of positive cases of covid-19 in West Java Province with an error rate of 50.16%

Pemodelan Proses Bisnis Menggunakan IDEF0 Pada Perusahaan Aegipix 3D Studio Graha Prakarsa; Vani Maharani Nasution
Journal of Information System Research (JOSH) Vol 3 No 4 (2022): Juli 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Aegipix 3D Studio is a company engaged in services to create architectural visualizations for architects, interior designers, property developers, marketing agents, housing agents, and landscape planners. Business processes are a very important function for Aegipix 3D Studio companies to work on projects that are accepted. Therefore it is necessary to analyze the performance of each process in the business process, for a development using Business Process Reengineering problem solving methods and business process modeling using IDEF0 modeling, it is expected to speed up the acceptance process (A1) and project work processes (A2 ) which was previously blocked. Especially in the process of working on the project, it is expected to minimize the workmanship due to disruption of scheduling in making the project timeline that has been determined.

Analisis Faktor-Faktor yang Mempengaruhi Penggunaan E-Marketplace Shopee Graha Prakarsa
SisInfo Vol 1 No 1 (2019): SisInfo
Publisher : Universitas Informatika dan Bisnis Indonesia

Proses transaksi secara online dewasa ini sebagian besar dilakukan melalui e-marketplace. Akan tetapi sampai sejauh ini belum ada model yang dapat mengukur sampai sejauh mana respon penerimaan pengguna terhadap aplikasi e-marketplace, terutama di Indonesia. Penelitian ini mencoba untuk membangun sebuah model yang dapat mengukur penerimaan teknologi pada aplikasi e-marketplace. Metode survey eksplanatif digunakan dalam penelitian ini. Model penerimaan teknologi (TAM) dipakai sebagai acuan utama yang kemudian pada penelitian ini dimodifikasi sehingga cocok dengan permasalahan pada penelitian ini dengan objek penelitian aplikasi Shopee. Analisis data dilakukan dengan regresi linier sederhana dan regresi berganda. Secara umum penelitian ini menunjukan bahwa ada hubungan yang positif dan signifikan antara Content Richness, Security, Perceived Ease of Use terhadap Perceived Usefulness. Kemudian hasil lain menunjukkan adanya hubungan yang signifikan antara Security, Perceived Ease of Use, Perceived Usefulness terhadap Consumers Intentions to Use. Akan tetapi security tidak memiliki hubungan yang positif terhadap Consumers Intentions To Use.

Faktor-Faktor yang Mempengaruhi Niat Konsumen Untuk Menggunakan Aplikasi E-Marketplace Tokopedia Graha Prakarsa
SisInfo Vol 1 No 2 (2019): SisInfo
Publisher : Universitas Informatika dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (550.404 KB)

Penelitian ini dilakukan untuk mengetahui seberapa jauh penerimaan pengguna aplikasi emarketplaceTokopediamenggunakanTechnologyAcceptanceModel(TAM).Pendekatanpenelitian ini dilakukan yaitu pendekatan kuantitatif dengan metode survey. Teknik pengumpulan datadilakukan dengan menggunakan angket yang disebar secara random kepada pengguna e-marketplaceTokopedia. Metode analisis data yang digunakan yaitu analisis deskriptif menggunakan teknikanalisis data regresi linear berganda. Hasil penelitian menunjukkan bahwa variabel content richness,security dan perceived ease of use berpengaruh signifikan terhadap variabel perceived of usefulness,variabel security berpengaruh signifikan terhadap variabel perceived usefulness, variabel perceivedusefulness, perceived ease of use dan security berpengaruh signifikan terhadap variabel customersintention to use.

Model Keputusan Penentuan Jenis Distribusi Dari Kerusakan Bearing Pada Mesin TFO Di PT XYZ Tombak Gapura Bhagya; Graha Prakarsa
SisInfo Vol 2 No 2 (2020): SisInfo
Publisher : Universitas Informatika dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (761.14 KB)

Companies at this time are required to be able to make the machine work as optimal as possible. But engine performance will not be optimal if the maintenance of the production machine is not properly regulated. One way to do maintenance is to know the pattern of damage to parts of the machine. Bearing on TFO machines is a part that is quite widely used, on one machine can use up to 512 bearings. And if it is damaged, the machine must stop operating for up to 3 days, but if the pattern of bearing damage can be found, the bearing replacement process will only take 4 hours. Based on the data obtained, the bearing crushing rate on the TFO machine at PT XYZ is Weibull distribution, this can be seen from the index of fit value which is greater than the other distributions.

Prototype dan Implementasi Smart Lock dengan Akses E-KTP untuk Keaamanan Rumah Berbasis Internet Of Things Graha Prakarsa; Reni Nursyanti; Vani Maharani Nasution
Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Vol 14, No 1 (2023): Juni
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jsit.v14i1.3100

Tingkat kriminalitas dan keahlian pencuri khususnya pencurian rumah sangat tinggi, membuat penulis membuat gagasan inovasi alat pengaman pintu yang efisien dan praktis tidak perlu menggunakan kunci konvensional lagi yaitu pengamanan pintu dengan menggunakan Radio Frequency Identification (RFID) berbasis Internet of Things dengan menggunakan mikrokontroler NodeMcu Lolin V3. Radio Frequency Identification (RFID) membaca UID E-KTP dan PIN sebagai pembuka pintu dengan memanfaatkan teknologi Internet of Things dengan menggunakan wireless yang terhubung pada website dapat di monitoring melalui Smartphone yang bertujuan agar keamanan lebih terjamin karena tidak semua orang dapat mengakses pintu dengan mudah serta tidak perlu membawa kunci konvensional lagi dan beralih ke pintu cerdas otomatis menggunakan akses E-KTP dan Pin dan menghasilkan rancang bangun sistem smart lock dengan memanfaatkan akses e-KTP berbasis IoT. Hasil bahwa Smart Lock menggunakan akses E-KTP dan PIN serta baterai UPS untuk memungkinkan akses tetap dapat masuk meski listrik mati dan dibuat untuk meningkatkan keamanan serta tidak perlu menggunakan kunci konvensional membuat rumah menjadi aman dan praktis yang dioperasikan dengan mikrokontroler NodeMCU sebagai pusat kendali rangkaian menggunakan software Arduino IDE yang dapat dikontrol secara jarak jauh dengan website.

Co-Authors Agung Andriana Anggraito, Hendry Azhar Affandi Baransano, Esar Samuel Bhagya, Tombak Gapura Deden Pradeka Dini Yulianti Ginanjar, Ari Ramdan Gitardiana, Antari Nurayban Ikhsan Nur, Muhammad Iman Sudirman Kartikasari, Ria Yuliani Komala, Elly Latipah, Siti Marwondo Nasution, Vani Maharani Nursyanti, Reni Permana, Alwi Dahlan Putra, Prayuda Mulyadi R. Hari Busthomi Arifin R. Yadi Rakhman Alamsyah Rahadiyanti, Nira Ramadhiana, Irena Nurul Ratih Hadiantini Reni Nursyanti Reni Nursyanti Safira Noor Andinia Santoso, Ferry Saputra, Renda Sandi Setiana, Elia Siti Nuraini Rahmawati Teofilus Hendrawan, Yesaya Tombak Gapura Bhagya Tombak Gapura Bhagya Vaughan, Regan Venia Restreva Danestiara Wibowo, Jati Arie Wicaksono, Ferdyansyah Yasmadi, Bambang

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