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All Journal International Journal of Electrical and Computer Engineering Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Teknologi dan Sistem Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika JUTIK : Jurnal Teknologi Informasi dan Komputer Jusikom : Jurnal Sistem Komputer Musirawas Jurnal Informatika Universitas Pamulang SISFO Jurnal RESISTOR (Rekayasa Sistem Komputer) WIDYABHAKTI Jurnal Ilmiah Populer J-SAKTI (Jurnal Sains Komputer dan Informatika) Building of Informatics, Technology and Science Indonesian Journal of Data and Science Tematik : Jurnal Teknologi Informasi Komunikasi JPM: JURNAL PENGABDIAN MASYARAKAT International Journal of Engineering, Science and Information Technology Jurnal Manajemen Informatika Jayakarta PROFICIO: Jurnal Pengabdian Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) Jurnal Multidisiplin Madani (MUDIMA) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Pengabdian Masyarakat Tapis Berseri Journal of Social Work and Empowerment Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat JGGAG (Journal of Games, Game Art, and Gamification)
Christina Purnama Yanti
STMIK STIKOM Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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IMPLEMENTASI SERVER SIDE UNTUK MANAJEMEN AUDIT MUTU INTERNAL STMIK STIKOM INDONESIA Christina Purnama Yanti; Ni K. N Noviani Pande; I Made Subrata Sandhiyasa
Jusikom : Jurnal Sistem Komputer Musirawas Vol 5 No 1 (2020): Jusikom : Jurnal Sistem Komputer Musirawas JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (979.851 KB) | DOI: 10.32767/jusikom.v5i1.753

Abstract

Server Side merupakan teknologi webpage yang menerapkan jenis pemograman web yang di proses di server. STMIK STIKOM Indonesia telah menerapkan Sistem Penjaminan Mutu Internal (SPMI) dengan melakukan Audit Mutu Internal (AMI). Namun sistem audit yang sedang berjalan masih manual. Maka dari itu dibangun Sistem Informasi Manajemen Audit Mutu Internal untuk STMIK STIKOM Indonesia. Adapun tahapan pembuatan sistem informasi dimulai dari tahap analisis masalah, perancangan sistem, implementasi, dan pengujian sistem. Hasil penelitian ini telah dibangun sistem informasi manajemen audit mutu internal yang mengimplementasikan metode server side dengan framework Laravel. Pengujian dilakukan dengan pengujian Blackbox dimana sistem telah berhasil melakukan semua perintah yang telah dirancang sebelumnya
MEDIA PEMBELAJARAN ADMINISTRASI PAJAK BERBASIS VIDEO ANIMASI 2 DIMENSI DI SMK NEGERI 1 BANGLI I Made Cristian Arta Kusuma; Christina Purnama Yanti; Ketut Laksmi Maswari
Jurnal Teknologi Informasi dan Komputer Vol 8, No 4 (2022): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

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Abstract

ABSTRACTDuring the Covid-19 pandemic, teaching and learning activities at SMK Negeri 1 Bangli implemented Hybrid teaching and learning activities. This learning activity makes the subject of Tax Administration less attractive to students of Accounting study program. Because when learning is online, the delivery of material is felt to be less accurate. So we need teaching media that helps explain material related to Tax Administration to students. The media is a 2-dimensional animated video-based learning media. This research uses primary and secondary data collection methods. Primary data collection used the interview method with one of the teachers of the Accounting study program at SMK Negeri 1 Bangli and the questionnaire method by giving statements to students of class XI Accounting study program at SMK Negeri 1 Bangli as many as 80 people and the statements given to material experts and media experts. Secondary data collection using the library method. Based on the results of data processing, it was found that 90% or around 72 students stated that they could receive the related material well. Then the voice of the narrator in this 2-dimensional animated video-based learning media can be heard clearly. The conclusions obtained after this Learning Media were tested, the results obtained were in accordance with the author's expectations. This learning media has succeeded in helping teachers deliver the material and can be well received by students.Keywords: pandemic, hybrid, media, animation, 2dABSTRAKSelama pandemi Covid-19 berlangsung, kegiatan belajar mengajar di SMK Negeri 1 Bangli memberlakukan kegiatan belajar mengajar Hybrid. Kegiatan belajar ini menjadikan mata pelajaran Administrasi Pajak kurang menarik minat siswa prrodi Akuntansi. Hal itu dikarenakan saat pembelajaran daring, penyampaian materi dirasa kurang akurat. Sehingga diperlukan media ajar yang membantu menjelaskan materi terkait Administrasi Pajak kepada siswa. Media tersebut adalah media pembelajaran berbasis video animasi 2 dimensi. Peneitian ini menggunakan metode pengumpulan data primer dan data sekunder. Pengumpulan data primer menggunakan metode Wawancara dengan salah satu guru prodi Akuntansi di SMK Negeri 1 Bangli dan metode Kuesioner dengan memberikan penyataan kepada siswa kelas XI prodi Akuntansi di SMK Negeri 1 Bangli sebanyak 80 orang dan adanya pernyataan yang diberikan kepada ahli materi dan ahli media. Pengumpulan data sekunder menggunakan metode kepustakaan. Berdasarkan hasil pengolahan data, didapatkan sebanyak 90% atau sekitar 72 siswa menyatakan dapat menerima materi terkait dengan baik. Kemudian suara narator yang ada pada media pembelajaran berbasis video animasi 2 dimensi ini dapat didengar dengan jelas. Kesimpulan yang didapatkan setelah Media Pembelajaran ini diujikan, hasil yang diperoleh sesuai dengan harapan penulis. Media pembelajaran ini berhasil membantu guru menyampaikan materi dan dapat diterima oleh siswa dengan baik.Kata Kunci: pandemi, hybrid, media, animasi, 2d
PKM Pelatihan dan Penyuluhan Protokol Kesehatan PKK Desa Bunutin Komang Redy Winatha; Ni Luh Wiwik Sri Rahayu Ginantra; Christina Purnama Yanti; Ni Kadek Nita Noviani Pande
Journal of Social Work and Empowerment Vol 1 No 1 (2021): Journal of Social Work and Empowerment - September 2021
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

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Abstract

Peran lingkungan keluarga melalui kelompok PKK dalam menerapkan tatanan new normal/kehidupan baru sangat perlu dilakukan. Namun penerapan protokol kesehatan pada tatanan new normal ini belum dipahami dengan benar oleh masyarakat. Hal ini tampak pada hasil observasi yang dilakukan di Desa Bunutin Bangli, dimana masyarakat belum memiliki sanitasi protokol kesehatan. Melihat permasalahan tersebut maka perlu dilakukan penyuluhan dan sosialisasi tentang protokol kesehatan melibatkan narasumber dari praktisi kesehatan sehingga dapat memberikan pengetahuan yang baik kepada kelompok masyarakat melalui kelompok penggerak PKK Desa Bunutin. Tujuan dari PKM ini memberikan pengetahuan kepada masyarakat Desa Bunutin tentang contoh penerapan protokol kesehatan yang baik dan benar dimasa pandemi. Gambaran umum kegiatan ini yakni memberikan penyuluhan tentang pentinnya protokol kesehatan, praktik pembuatan sabun cuci tangan cair, hand sanitizer, desinfektan dan pengemasan produk yang dihasilkan. Luaran yang dihasilkan dari kegiatan ini yakni pemahaman masyarakat kelompok penggerak PKK Desa Bunutin terhadap penerapan protokol kesehatan dalam kehidupan sehari-hari meningkat, terpenuhinya fasilitas sanitasi kesehatan tiap keluarga di Desa Bunutin Bangli, serta masyarakat memiliki keterampilan mandiri dalam membuat sabun cuci tangan.
Trend Forecasting of the Top 3 Indonesian Bank Stocks Using the ARIMA Method Sudipa, I Gede Iwan; Riana, Roni; Putra, I Nyoman Tri Anindia; Yanti, Christina Purnama; Aristana, Made Dona Wahyu
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.12773

Abstract

The number of investors in Indonesia increases annually. This is due to the growing popularity of investing, particularly stock investment. There are currently three largest equities in the banking industry, namely BBCA, BBRI, and BMRI. Stock prices fluctuate and form multiple patterns of price movements; therefore, investors must be able to recognize the patterns and trends of securities on the capital market in order to plan long-term investments, maximize potential profits, and reduce the risk of investment losses. In addition to knowing the trajectory of the stock market's trend, investors rely heavily on forecasting. Forecasting is necessary so that investors can anticipate future prices. The Autoregressive Integrated Moving Average (ARIMA) method is a frequently used method for forecasting time series data. In general, ARIMA is represented by the formula ARIMA (p, d, q), where p represents the Autoregressive (AR) order, d represents the difference, and q represents the Moving Average (MA) order. The trend of BBCA, BBRI, and BMRI stock data was effectively predicted using the ARIMA method. The results of this study are presented as diagrams of actual and forecasted data for the next 12 periods, as well as predictions of the optimal purchase price points for stocks. The ARIMA model of each stock also generates a low MAPE error value, with MAPE values of 4% for BBCA, 5% for BBRI, and 7% for BMRI. The MAPE value derived by each model is incorporated into the MAPE value with a high degree of precision, as it falls below 10%.
PKM IMPLEMENTASI APLIKASI PEMBELAJARAN KERANGKA TULANG BERBASIS AUGMENTED REALITY PADA SD NO. 4 ABIANSEMAL: Indonesia Yanti, Christina Purnama; Ginantra, Ni Luh Wiwik Sri Rahayu; Sastaparamitha, Ni Nyoman Ayu J; Hendrawati, Theresia; Dwipayana, Ida Bagus Rama
PROFICIO Vol. 5 No. 1 (2024): PROFICIO: Jurnal Abdimas FKIP UTP
Publisher : FKIP UNIVERSITAS TUNAS PEMBANGUNAN SURAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/jpf.v5i1.2959

Abstract

Kerangka tulang manusia merupakan salah satu materi pembelajaran IPA pada kelas 5 SD. Di SD No. 4 Abiansemal proses pembelajaran kerangka tulang manusia hanya dijelaskan dengan media buku, hal ini disebabkan oleh alat peraga yang dimiliki mengalami kerusakan seperti ada beberapa bagian yang rusak dan hilang. Dari kuesioner yang disebarkan sebanyak 57 responden disimpulkan bahwa siswa merasa bosan dan kurang tertarik dalam pembelajaran tanpa menggunakan alat peraga. Augmented reality adalah sebuah teknologi yang dapat menyatukan dunia nyata dengan virtual secara beriringan, dengan adanya augmented reality diharapkan dapat menjadi pengganti alat visual dalam proses pembelajaran di dalam kelas. Oleh karena itu tim pengabdi melakukan pengabdian kepada masyarakat dimana tahapan awal yaitu pembuatan aplikasi Augmented Reality pengenalan Kerangka Tulang Manusia dan dilanjutkan dengan pelatihan dan pendampingan kepada siswa – siswi SD No. 4 Abiansemal dalam menggunakan aplikasi tersebut. Setelah dilakukan pelatihan, dilanjutkan dengan evaluasi kepada siswa dengan mengerjakan kuis yang ada pada aplikasi dan evaluasi terhadap aplikasi dengan pemberian kuesioner kepada 23 siswa. Dari hasil evaluasi didapat tingkat persetujuan terhadap aplikasi rata – rata adalah 83%.
Prediksi Harga Material Bangunan Dengan Autoregressive Integrated Moving Average (Arima) Pada CV. TJA Christina Purnama Yanti; Ni Komang Ita Cahyani; Theresia Hendrawati; Yuri Prima Fittryani; Dewa Ayu Kadek Pramita
TEMATIK Vol. 11 No. 1 (2024): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2024
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v11i1.1914

Abstract

The problem most often faced by CV TJA is that the price from the RAB (Cost Budget Plan) calculation is not in accordance with market prices, so it is necessary to predict the price of building materials to help the company prepare the RAB. The aim of this research is to examine predictions of material prices measured using the ARIMA method. The data analysis method in this study used the MA parameter (1) with the ARIMA model (0,1,1) for dynamix cement material, the MA parameter (1) ARIMA model (0,2,1) for cast sand, the MA parameter (1 ) ARIMA model (0,3,1) for threaded iron 13 and AR parameter (2) ARIMA model (2,1,0) for usuk wood material. By using 3 error testing methods, namely Mean Absolute Percentage Error (MAPE), Mean Absolute Deviation (MAD) and Mean Squared Deviation (MSD). The results of this analysis show the lowest accuracy value, namely for dynamic cement material with a MAPE value of 5%, a MAD value of 1.986 and an MSD value is 63.584.667. The results of error tests using MAPE, MAD and MSD can be concluded that the ARIMA method is very accurate because the MAPE value is less than 10%.
PKM Pemutakhiran Data Penduduk di Desa Kukuh Kerambitan Tabanan: Indonesia Ginantra, Ni Luh Wiwik Sri Rahayu; Yanti, Christina Purnama; Wulandari, Dewa Ayu Putri; Hendrawati, Theresia
Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) Vol. 2 No. 1 (2023): Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) (Edisi April)
Publisher : Pusat Studi Teknologi Informasi Fakultas Ilmu Komputer Universitas Bandar Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jpmtb.v2i1.49

Abstract

Kukuh Village is a village located in Kerambitan District, Tabanan Regency, Bali. Regional government has been promoting routine population data collection but most people do not yet have awareness of the importance of such data collection. Village population data stored in the Kukuh Village Information System is currently inaccurate, because the population of Kukuh Village is increasing every year, causing population data stored in the Kukuh Village Information System to be less accurate. Because of this, a population data update was carried out in Kukuh Village, Kerambitan, Tabanan. This program is realized in order to make population data on the official website of the Kukuh Village Information System accurate, up-to-date, integrated, of good quality so as to create accurate population data on the official website of the Kukuh Village Information System.
Enchancing K-NN Performance With SMOTE for Sentiment Analysis of Streaming App Reviews Patrycia Dewi, Ni Putu Eka; Yanti, Christina Purnama; Yusa, I Made Marthana
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6190

Abstract

This research aims to analyze the sentiment of user reviews for a popular streaming app on both the Play Store and App Store using the K-Nearest Neighbor (K-NN) method. As the user base expands, reviews increasingly influence app development, guiding improvements and optimizing user experience. However, the large volume of reviews renders manual analysis inefficient and prone to inconsistencies, underscoring the necessity of sentiment analysis to quickly and accurately capture user perceptions. Review data were collected from both platforms, with preprocessing steps such as data cleaning, tokenization, and normalization applied to ensure data consistency. The Synthetic Minority Over-sampling Technique (SMOTE) was used to address class imbalance, enhancing the reliability of classification results. Findings indicate that SMOTE improved model accuracy, raising it from 74% to 82.9% for Play Store data and from 79% to 84.1% for App Store data. Furthermore, a notable difference in sentiment dominance was observed, with positive sentiment prevailing on the Play Store, while negative sentiment was more prevalent on the App Store. These insights reveal that, overall, the app is well received, although certain areas highlighted in negative reviews require further attention to improve user satisfaction.
Kombinasi Metode SVM Dengan Optimasi SMOTE Terhadap Ulasan Pengguna Layanan Streaming Ni Putu Anik Juniantini; Yanti, Christina Purnama; Nilawati, Ni Ketut Utami
TEMATIK Vol. 11 No. 2 (2024): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2024
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v11i2.2068

Abstract

The development of digital technology has changed media consumption patterns in Indonesia, with streaming services like Disney+ Hotstar becoming increasingly popular. Since its launch in 2020, Disney+ Hotstar has offered exclusive content from Marvel, Pixar, Disney, National Geographic and others, quickly capturing the market in Indonesia. However, this service is not without controversy, particularly regarding certain content deemed to conflict with social values in Indonesia. Additionally, service quality, subscription prices, and content availability are also concerns for users. The difference in ratings on the Play Store (1.7) and the App Store (4.8) indicates a disparity in user satisfaction between the two platforms. This study aims to analyze user sentiment towards Disney+ Hotstar, particularly regarding reviews on the Play Store and App Store. Using a classification model with Support Vector Machine (SVM), optimized with the Synthetic Minority Over-Sampling Technique (SMOTE) to address data imbalance. Based on the analysis of 1,650 datasets, user sentiment tends to be neutral, as measured using the Vader Lexicon. The method testing results show that SMOTE optimization can improve the performance of the SVM model, with an accuracy increase of +0.7 on Play Store reviews from 0.67 to 0.74, and an accuracy increase of +0.11 on App Store reviews from 0.72 to 0.83 In conclusion, the SVM method optimized with SMOTE has proven effective in improving the accuracy of sentiment classification in user reviews of Disney+ Hotstar.
Sistem Pendukung Keputusan Penerimaan Tenaga Unit Medis di RS Ari Canti dengan Metode Topsis Wiwik Sri Rahayu Ginantra, Ni Luh; Yanti, Christina Purnama; Toraja, Dewa Gede
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.257

Abstract

Ari Canti Hospital selectively conducts selection in the company environment that is by selecting one by one application then do some test on applicants with several criteria. With a large number of applicants making the selection process takes a lot of time and effort, as well as applicant data and the outcomes of the applicants are not well archived. Based on the above problems, need a solution to problem-solving by making a Decision Support System to determine the appropriate applicants to become new employees by facilitating the selection of employees by predetermined criteria. The TOPSIS method is chosen because this method is a form of decision support method based on the concept that the best alternative not only has the shortest distance from the ideal solution but also has the longest distance Of the ideal solution. The result of the design of this Decision Support System is the system has been able to generate reports from the applicant rank calculation by the values that have been obtained on the criteria that have been determined. The calculation results of the Decision Support System is already by the calculations performed manually.
Co-Authors Anak Agung Gde Ekayana Andika, I Gede Andika, I Gede Apta K, I Gusti . Ayu Sahasika Ariana, Anak Agung Gede Bagus Aristamy, I Gusti Ayu Agung Mas Aristana, Made Dona Wahyu Baehaqi Cardewa, Made Daniel Eka Saputra Dewa Ayu Putri Wulandari Dwipayana, Ida Bagus Rama Gede Indrawan Hendrawati, Theresia I Dewa Made Krishna Muku I Gede Andika I Gede Andika I Gede Andika I Gede Iwan Sudipa I Gusti Agung Indrawan I Made Cristian Arta Kusuma I Made Marthana Yusa I Made Marthana Yusa I Nyoman Tri Anindia Putra I Wayan Dharma Suryawan Ida Bagus Nyoman Pascima Juniartini, Ni Komang Tri Ketut Laksmi Maswari Made Cardewa Made Suci Ariantini Meinarni , Ni Putu Suci N.L.Wiwik Sri Rahayu Ginantra Ni K. N Noviani Pande Ni Kadek Nita Noviani Pande Ni Ketut Utami Nilawati Ni Komang Ita Cahyani NI LUH PUTU AGETANIA . NI LUH PUTU MERY MARLINDA Ni Luh Wiwik Sri Rahayu Ginantra Ni Made Lisma Martarini Ni Putu Anik Juniantini Nirwana, Ni Kade Ayu Patrycia Dewi, Ni Putu Eka Pramita, Dewa Ayu Kadek Pramitha, Gede Dana Putra S., I Ketut Yama Cahyana Putri, Ida Ayu Putu Calista Kencana Putu Wirayudi Aditama Riana, Roni Sandhiyasa, I Made Subrata Santi Ika Murpratiwi Saputra, Daniel Eka Saraswati, Ni Wayan Sumartini Sastaparamitha, Ni Nyoman Ayu J Tjokorda Istri Agung Pandu Yuni Maharani Toraja, Dewa Gede Waas, Devi Valentino Winata, I Putu Erick Prawira Winatha, Komang Redy Wulandari, Dewa Ayu Putri Yuri Prima Fittryani, Yuri Prima