Articles
<![CDATA[Implementasi Google Cloud Messaging pada Sales Mobile Application ]]>
<![CDATA[Christine Dewi]]>;
<![CDATA[Stephen Aprius Sutresno]]>
<![CDATA[ Jurnal Buana Informatika Vol. 7 No. 2 (2016): Jurnal Buana Informatika Volume 7 Nomor 2 April 2016 ]]>
Publisher : <![CDATA[Universitas Atma Jaya Yogyakarta ]]>
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DOI: 10.24002/jbi.v7i2.490
<![CDATA[Abstract. Sales forces are fundamental to determine the smooth process on the marketing firm engaged in sales .One of the companies in the Magelang engaged in sales is PT. Armada Internasional Motor. The car sales process in PT. Armada Internasional Motor still uses manual system. The use of the manual system needs a long time to process car sales to customers. Documents of vehicle order must be approved by several parties by providing signatures on the document. Therefore a new system is needed to solve the problem by building a sales application. The application is built by means of Location Based Service technology useful to help register the location and Google Cloud Messaging as a provider of the information from the server to clients. This research produces the application of a sales system based on mobile android platform that has already integrated various parties and can provide facilities to sales.Keywords: Sales, Android, Location Based Service, Google Cloud Messaging.Abstrak. Karyawan yang memiliki posisi sebagai sales merupakan bagian penting dalam menentukan lancarnya alur proses pemasaran pada perusahaan yang bergerak dalam bidang penjualan. Sales di PT. Armada Internasional Motor masih menggunakan sistem manual dalam penjualan mobil kepada pelanggan. Penggunaan sistem yang manual tersebut membuat sales membutuhkan waktu yang lama untuk melakukan setiap penjualan mobil kepada pelanggan. Untuk itu dibutuhkan sistem baru yang dapat mengatasi masalah tersebut dengan membangun sebuah aplikasi sales. Aplikasi yang dibangun dengan menggunakan teknologi Location Based Service yang berguna membantu pencatatan lokasi dan menggunakan teknologi Google Cloud Messaging yang berguna sebagai pemberi informasi dari server kepada client. Penelitian ini menghasilkan aplikasi sistem sales berbasis mobile pada platform Android yang sudah terintegrasi baik dengan berbagai pihak dan dapat memberikan kemudahan kepada sales.Kata Kunci: Sales, Android, Location Based Service, Google Cloud Messaging.]]>
<![CDATA[Sistem Pelaporan Infrastruktur Dinas Bina Marga Dan PSDA Kota Salatiga Menggunakan NodeJs Berbasis Web ]]>
<![CDATA[Christine Dewi]]>;
<![CDATA[Anjar Widhyo Sasongko]]>
<![CDATA[ Indonesian Journal of Computing and Modeling Vol 1 No 1 (2018) ]]>
Publisher : <![CDATA[Pusat Studi Sistem Informasi dan Pemodelan Mitigasi Tropika ]]>
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<![CDATA[Dinas Bina Marga dan PSDA kota Salatiga memiliki tugas pelayanan masyarakat dalam hal menyediakan infrastruktur kebinamargaan dan sumber daya air di kota Salatiga. Dinas Bina Marga dan PSDA kota Salatiga saat ini belum memiliki sistem informasi untuk melaporkan kerusakan infrastruktur di kota Salatiga.Pelaporan kerusakan infrastruktur saat ini dilakukan melalui pemberitahuan langsung ke kantor dinas, pemberitahuan melalui telepon, pemberitahuan melalui email,atau pemberitahuan melaui sms. Dari informasi tersebut petugas masih diharuskan untuk melakukan survey ke lokasi laporan kerusakan.Pada penelitian ini dilakukan pengembangan sistem pelaporan infrastruktur berbasis web menggunakan NodeJs. Pengembangan sistem dilakukan dengan metode prototyping. Hasil dari penelitian ini dapat membantu pihak dinas Bina Marga dan PSDA kota Salatiga dalam menyajikan laporan masalah pada infrastruktur. Detail informasi laporan berupa gambar dan letak lokasi masalah dapat menjadi bahan pertimbangan pihak dinas dalam mengambil langkah selanjutnya.]]>
<![CDATA[Pembuatan Aplikasi Pencatatan Servis Mobil di PT. Armada International Motor Berbasis Android ]]>
<![CDATA[Christine Dewi]]>;
<![CDATA[Kumala Nindya Pramono]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 4 No 4: November 2015 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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<![CDATA[PT. Armada Internasional Motor (PT. AIM) is anautomotive company that has not only a sales division but also aworkshop division. There are some problems that occur in theworkshop division of PT. AIM, namely the ineffectiveness of datarecording of new customers for new services, as they are usingdesktop-based application, hence, the customers must come tothe office beforehand. Furthermore, the data of service needsand the Letter of Reparation Order by the Checker are notdirectly known since they are in the desktop-system located inthe office, and the Service Advisor (SA) cannot directly find outwhether the service has been completed or not because theChecker has to make a manual report to SA. From some of thoseproblems, it is concluded that a data recording system with theportable and efficient mobile technology is highly needed. Theresult of this study is an application of car service data recordingfor both the SA and the Checker. The system of car service datarecording applies Google Cloud Messaging (GCM) technology tofacilitate the delivery of notice to the SA and the Checker.]]>
<![CDATA[PERANCANGAN GLOBAL POSITIONING SYSTEM (GPS) PADA SISTEM PRESENSI ONLINE BERBASIS WEBSITE MENGGUNAKAN METODE WATERFALL ]]>
<![CDATA[Emanuel Pabianan]]>;
<![CDATA[Christine Dewi]]>
<![CDATA[ Jurnal Pendidikan Teknologi Informasi (JUKANTI) Vol 6 No 2 (2023): JURNAL PENDIDIKAN TEKNOLOGI INFORMASI (JUKANTI) EDISI NOPEMBER 2023 ]]>
Publisher : <![CDATA[Program Studi Pendidikan Informatika, Universitas Citra Bangsa ]]>
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DOI: 10.37792/jukanti.v6i2.1038
<![CDATA[Presence is an activity that is often carried out by students, employees and staff. The attendance methods used are quite varied, ranging from manual attendance, fingerprints, etc. This method still has shortcomings such as manual recording. This research aims to design a website-based Global Positioning System (GPS) presence system at the Center for Innovative Teaching and Learning (P3I). The design was carried out using a supporting tool, namely Entity Relationship (ERD). The research method used by the author is the waterfall method which develops systematically from one stage to another like a waterfall. The testing stage uses 2 methods, namely alpha beta testing and system testing, in alpha testing in the test results table, results are obtained if the system runs without problems and is in accordance with user needs and beta testing is testing carried out by interview while system testing is testing by distributing questionnaires to find out the level of acceptance of the attendance system. Based on the interviews conducted, it can be concluded that the online presence website is user friendly or easy to operate and is in accordance with the objectives and benefits of the research conducted. Based on research and testing carried out.]]>
<![CDATA[Modification of random forest method to predict student graduation data ]]>
<![CDATA[Christine Dewi]]>;
<![CDATA[Gerald Edgard Laukon]]>;
<![CDATA[Stephen Aprius Sutresno]]>;
<![CDATA[Henoch Juli Christanto]]>
<![CDATA[ Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/mantik.v7i4.4528
<![CDATA[The graduation rate of students is an important measure of a school’s success, as it indicates the school’s ability to help students complete their education. Predicting student completion is crucial for schools to identify at-risk students and offer them early interventions to improve their academic performance. This can also assist policymakers in developing effective policies and programs to enhance graduation rates and reduce dropout rates. The dataset used in this study was obtained from the Kaggle website, and the best model proposed utilizes the Random Forest method with hyperparameter tuning. By adjusting the n_estimator parameter to 1000, our proposed method decreases the mean squared error (MSE) value from 0.5525155 to 0.5374983 and increases the R2 Score value from 0.9984039 to 0.9984873. The study also compares the performance of the proposed model with other datasets sourced from the University of California Irvine (UCI), demonstrating superior performance across all experiments. The results consistently show a decreasing trend in MSE value and an increasing trend in R2 value for all datasets]]>
<![CDATA[PERANCANGAN GLOBAL POSITIONING SYSTEM (GPS) PADA SISTEM PRESENSI ONLINE BERBASIS WEBSITE MENGGUNAKAN METODE WATERFALL ]]>
<![CDATA[Pabianan, Emanuel]]>;
<![CDATA[Dewi, Christine]]>
<![CDATA[ Jurnal Pendidikan Teknologi Informasi (JUKANTI) Vol 6 No 2 (2023): JURNAL PENDIDIKAN TEKNOLOGI INFORMASI (JUKANTI) EDISI NOPEMBER 2023 ]]>
Publisher : <![CDATA[Program Studi Pendidikan Informatika, Universitas Citra Bangsa ]]>
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DOI: 10.37792/jukanti.v6i2.1038
<![CDATA[Presence is an activity that is often carried out by students, employees and staff. The attendance methods used are quite varied, ranging from manual attendance, fingerprints, etc. This method still has shortcomings such as manual recording. This research aims to design a website-based Global Positioning System (GPS) presence system at the Center for Innovative Teaching and Learning (P3I). The design was carried out using a supporting tool, namely Entity Relationship (ERD). The research method used by the author is the waterfall method which develops systematically from one stage to another like a waterfall. The testing stage uses 2 methods, namely alpha beta testing and system testing, in alpha testing in the test results table, results are obtained if the system runs without problems and is in accordance with user needs and beta testing is testing carried out by interview while system testing is testing by distributing questionnaires to find out the level of acceptance of the attendance system. Based on the interviews conducted, it can be concluded that the online presence website is user friendly or easy to operate and is in accordance with the objectives and benefits of the research conducted. Based on research and testing carried out.]]>
<![CDATA[Simulasi Implementasi Load Balancing pada Jaringan Internet dengan Metode Per Connection Classifier (PCC) dan Server dengan Metode IP Hash Menggunakan GNS3 ]]>
<![CDATA[Tanujaya, Matthew]]>;
<![CDATA[Dewi, Christine]]>
<![CDATA[ Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 1 (2024): JANUARY-MARCH 2024 ]]>
Publisher : <![CDATA[Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) ]]>
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DOI: 10.35870/jtik.v8i1.1550
<![CDATA[The internet connection should typically function without any issues at all times. However, there are instances where the link does not function properly because to impediments or other issues.. The GNS3 Network Simulator tool is used in this study to carry out the simulation. The goal of this strategy is to determine whether it can sustain the internet network's quality and traffic levels while distributing the load throughout the network channel. Correct server path management will also be accomplished using the IP Hash technique. Using the PCC load balancing method, the traffic load is obtained more smoothly without data accumulation. Because the other network functions as an internet provider, internet access will still be accessible even if one of these networks dies. While using IP hash, the test results obtained an average throughput with the small data request category of 16.69 KB/s. with the medium data request category of 54.31KB/s and 1200 KB/s for the large data request category.]]>
<![CDATA[Analisis Preferensi Mahasiswa di Salatiga Dalam Menentukan Jenis Kendaraan Online Gojek Menggunakan Metode Naïve Bayes ]]>
<![CDATA[Christanto, Henoch Juli]]>;
<![CDATA[Hiuredhy, Davin Kurnia]]>;
<![CDATA[Dagha, Willyam Chrisna Umbu]]>;
<![CDATA[Sutresno, Stephen Aprius]]>;
<![CDATA[Dewi, Christine]]>
<![CDATA[ Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 3 (2024): JULY-SEPTEMBER 2024 ]]>
Publisher : <![CDATA[Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) ]]>
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DOI: 10.35870/jtik.v8i3.2200
<![CDATA[The development of technology in online transportation services like Gojek has a significant impact on meeting the mobility needs of modern society. The city of Salatiga, with many students from outside the island, has a considerable number of individuals without their own vehicles who prefer to use Gojek services. Therefore, research was conducted to analyze the preferences of students in Salatiga in determining the type of Gojek online transportation using the Naïve Bayes method. One hundred questionnaires from Salatiga students were collected, and the results yielded probability values for Gojek service preferences based on a combination of variables such as weather, load, destination, and time. It is evident from the probability values that weather and time variables play a crucial role in influencing users' decisions between using Go-Ride or switching to Go-Car. These results can provide guidance for Gojek in designing service innovations that are more responsive to user needs based on various specific factors.]]>
<![CDATA[Optimizing Logistics: Developing An Efficient Tracking and Delivery System for Automotive Spare Parts ]]>
<![CDATA[Hiuredhy, Davin Kurnia]]>;
<![CDATA[Christanto, Henoch Juli]]>;
<![CDATA[Dewi, Christine]]>;
<![CDATA[Sutresno, Stephen Aprius]]>
<![CDATA[ Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 4 (2024): OCTOBER-DECEMBER 2024 ]]>
Publisher : <![CDATA[Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) ]]>
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DOI: 10.35870/jtik.v8i4.2380
<![CDATA[In the automotive spare parts industry, efficient supply chain management is the backbone of operational success. Amidst this complex ecosystem, companies face challenges in delivering fast, reliable, and competitive services, accommodating a constantly evolving consumer base with discerning preferences and rising expectations. This article aims to identify challenges in developing tracking and delivery scheduling applications for the automotive spare parts industry and improve system performance by introducing effective solutions. The research adopts a system development approach using the Waterfall method to produce a responsive and user-friendly web application, followed by functional testing using Black Box and evaluation using the System Usability Scale (SUS). Development of the tracking and delivery scheduling application using the Waterfall method resulted in a reliable and responsive application, with all system functionalities running smoothly. SUS testing indicated that the application has a good level of usability, with an average score of 77.5 out of 100. This study successfully provides relevant and efficient technological solutions to overcome operational barriers in the automotive spare parts industry, with the potential to enhance customer satisfaction and solidify the company's position as a pioneer in the automotive aftermarket sector. However, further improvements in application usability can be achieved through future iterations guided by user feedback and additional usability testing.]]>
<![CDATA[Prediksi Ekspor Migas Indonesia Dengan Double Exponential Smoothing ]]>
<![CDATA[Juli Christanto, Henoch]]>;
<![CDATA[Aprius Sutresno, Stephen]]>;
<![CDATA[Mavish, Steven]]>;
<![CDATA[Afrianto Singgalen, Yerik]]>;
<![CDATA[Dewi, Christine]]>
<![CDATA[ Jurnal Elektro Vol 15 No 1 (2022): Vol.15 No.1 April 2022: Jurnal Elektro ]]>
Publisher : <![CDATA[Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta ]]>
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DOI: 10.25170/jurnalelektro.v15i1.5123
<![CDATA[In Indonesia, there are several forms of exports, one of which is oil and gas exports. The Double Exponential Smoothing method is a forecasting method that can be used to forecast oil and gas export data. This method uses two smoothing parameters, namely the average smoothing parameter alpha (α), the trend smoothing parameter beta (β). In this study, the population used is data on oil and gas exports in Indonesia. And the sample used is Indonesia's oil and gas export data from January 2020 to October 2021, we get 22 data sourced from the Central Statistics Agency (BPS). The Double Exponential Smoothing method is used because the data to be processed has a trend, both an up and a down trend and gas exports in Indonesia have an up and down pattern. The Double Exponential Smoothing method can also predict the prediction of oil and gas exports in Indonesia in the next months, November 2021 to February 2022. To process the data, the researcher used the Holt Double Exponential Smoothing method .]]>
