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All Journal JOSINFO : Jurnal Online Sistem Informasi JOSIKOM : Jurnal Online Sistem Komputer Jurnal Berdaya Mandiri Indonesian Journal of Data and Science International Journal of Artificial Intelligence in Medical Issues
I Gusti Ngurah Wikranta Arsa, I Gusti Ngurah
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APLIKASI MOBILE STIKOM BALI UPDATE BERBASIS ANDROID Letedara, Eucharistia Theopilia; Naseer, Muchammad; Wikranta Arsa, I Gusti Ngurah
JOSIKOM : Jurnal Online Sistem Komputer Vol 1, No 1 (2015)
Publisher : JOSIKOM : Jurnal Online Sistem Komputer

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Abstract

Informasi merupakan salah satu hal yang berkaitan dalam dunia perkuliahan. Setiap harinya selalu ada informasi–informasi terbaru dari kampus yang harus diketahui mahasiswa berkaitan dengan kegiatan perkuliahan maupun acara–acara yang diselenggarakan oleh pihak kampus yang harus diakses secara berkala. Mengingat kebutuhan mahasiswa akan informasi–informasi terbaru dari kampus, maka perlu ada suatu sistem yang memudahkan mahasiswa untuk mendapatkan informasi terbaru. Sebagai Sekolah Tinggi berbasis teknologi informasi, STMIK STIKOM Bali memaanfaatkan teknologi informasi dalam proses penyampain informasi. Untuk menangani masalah tersebut, maka dibutuhkan suatu sarana yang dapat digunakan untuk menyampaikan informasi dengan cepat, mudah dan hemat. Aplikasi mobile yang diterapkan pada platform  android merupakan suatu sarana yang paling efektif dalam penyampaian informasi dengan cepat dan mudah.  Aplikasi mobile ini bersifat pull notifikasi sehingga memudahkan pertukaran data secara cepat sehingga informasi–informasi terbaru dapat di terima oleh mahasiwa langsung dari gadget masing–masing.  Penulis telah berhasil membuat Aplikasi Mobile STIKOM BALI Update Berbasis Android untuk menunjang penerimaan informasi terbaru dari kampus untuk mahasiswa STIKOM BALI.Kata kunci : Aplikasi Mobile, Informasi, STIKOM Bali, Internet,  Android, Pull Notifikasi
APLIKASI SISTEM INFORMASI BALI SPOT FISHING BERBASIS ANDROID Ramadi, Nyoman Isaka; Ahmadi, Candra; Wikranta Arsa, I Gusti Ngurah
JOSIKOM : Jurnal Online Sistem Komputer Vol 1, No 1 (2015)
Publisher : JOSIKOM : Jurnal Online Sistem Komputer

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Smartphone Android merupakan kemajuan teknologi informasi yang sedang banyak digemari oleh masyarakat, dengan minat masyarakat akan smartphone android yang sangat besar, maka muncul ide untuk membangun sebuah aplikasi yang berguna bagi masyarakat untuk memberikan informasi yang memudahkan pemancing berbagi pengalaman dan spot memancing berbasis android, yang akan medukung kebutuhan pengguna akan fasilitas mobile teknologi terutama informasi spot memancing, maka di harapkan pembuatan aplikasi ini akan bermanfaat untuk masyarakat yang ingin berbagi pengalaman dalam olahraga memancing agar masyarakat lebih dimudahkan karena masyarakat sudah bisa menggunakan aplikasi ini hanya dengan smartphone mereka. Pada pembuatan sistem ini, untuk aplikasi Android dibangun dengan menggunakan bahasa pemrograman Java dan database MySQL. Hasil dari pembuatan system ini adalah aplikasi yang dapat menunjukkan lokasi memancing, teknik memancing, umpan dan waktu memancing yang tepat kepada pengguna aplikasi Bali Spot Fishing Berbasis Android. Kata Kunci : Aplikasi Sistem Informasi Bali Spot Fishing, Android
APLIKASI MANAJEMEN KONSTRUKSI JARINGAN LISTRIK PERDESAAN BERBASIS WEB PADA PT. PLN (Persero) Distribusi Bali Lestari, Kartika Sukma; Jayanti, Ni Ketut Dewi Ari; Wikranta Arsa, I Gusti Ngurah
JOSINFO : Jurnal Online Sistem Informasi Vol 1, No 1 (2015)
Publisher : JOSINFO : Jurnal Online Sistem Informasi

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Abstract

Pekerjaan konstruksi adalah seluruh pekerjaan yang berhubungan dengan pelaksanaan konstruksi bangunan atau pembuatan wujud fisik lainnya. Pelaksanaan pekerjaan konstruksi oleh Penyedia diatur oleh Pejabat Pembuat Komitmen (PPK) sebagai Manajer Proyek. PPK memiliki tanggungjawab atas pelaksanaan Pengadaan Pekerjaan Konstruksi, sedangkan Penyedia bertugas untuk melaksanakan pekerjaan konstruksi dan memberikan laporan kepada PPK mengenai aktivitas kegiatan pekerjaan di lokasi pekerjaan. Pada proyek konstruksi, Pejabat Pembuat Komitmen (PPK) seringkali mendapat kesulitan dalam mendapatkan laporan tepat waktu, hal ini disebabkan kurangnya komunikasi dan minimnya informasi antara PPK  dan Penyedia, hal ini tentunya akan membuat proyek konstruksi tidak berjalan maksimal. Maka dari dibuatlah sebuah aplikasi Manajemen Konstruksi Berbasis Web di PT. PLN (Persero) Distribusi Bali. Aplikasi ini akan digunakan oleh kedua belah pihak yaitu antara PPK dan Penyedia dari suatu proyek yang dikerjakan. Sehingga kedua belah pihak tersebut mendapatkan informasi yang  jelas  sesuai data yang dikirimkan oleh penyedia yang berada di lapangan. Pembuatan aplikasi ini menggunakan bahasa pemrograman PHP serta MySQL untuk penyimpanan database.Kata Kunci : Aplikasi, Konstruksi, Pejabat Pembuat Komitmen, PHP, MySQL
SISTEM PEMESANAN BUSANA PADA TOSCA SHOPPING HOUSE DENGAN GOOGLE CLOUD MESSAGING BERBASIS ANDROID Prabasari, Ni Made; Naseer, Muchammad; Wikranta Arsa, I Gusti Ngurah
JOSINFO : Jurnal Online Sistem Informasi Vol 1, No 1 (2015)
Publisher : JOSINFO : Jurnal Online Sistem Informasi

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Abstract

Tosca Shopping House merupakan sebuah tempat Usaha yang bergerak di bidang perdagangan yang menjual berbagai macam busana wanita. Namun pada proses penjualannya, belum ada peranan teknologi yang digunakan. Pelanggan hanya dapat melakukan transaksi secara tatap muka dengan datang langsung ke toko. Dari permasalahan tersebut maka dirancang sebuah Sistem Pemesanan Busana pada Tosca Shopping House dengan Google Cloud MessagingBerbasis Android. Dengan adanya sistem ini maka pelanggan dapat melakukan pembelian produk tanpa harus datang ke toko, melainkan melalui perangkat Android. Dibangunnnya sistem ini dapat memperluas pemasaran dan mempermudah proses pemesanan produk oleh pelanggan. Adanya layanan Google Cloud Messaging juga menambah kenyamanan bagi pelanggan karena pelanggan akan mendapatkan push notification pada perangkat Androidnya mengenai status pemesanan yang telah dilakukan.Kata Kunci : Sistem Pemesanan, Busana, Google Cloud Messaging, Android
PENINGKATAN KAPASITAS PRODUKSI DAN BRANDING CAMILAN COKLAT CHIPS PADA BEEMA BROWNIES Wijaya ADH, IGKG Puritan; Yusadara, I Gede Putra Mas; Wirawan, I Wayan Arik; Wikranta Arsa, I Gusti Ngurah; Saputra, I Made Arya Budhi; Gautama, I Made Bhaskara; Sari, Ni Made Wirastika; Rini, Erma Sulistyo; Parwita, I Made Mika; Damayanthi, Ni Putu Desy
Jurnal Berdaya Mandiri Vol. 6 No. 1 (2024): JURNAL BERDAYA MANDIRI (JBM)
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jbm.v6i1.6104

Abstract

 BEEMA Brownies, a snack manufacturer, has started producing snacks in the form of Brownies-flavored Choco Chips and several other flavors made from good quality ingredients without artificial sweeteners and preservatives. Even though in the middle of a pandemic, we are still optimistic that we can capture a sufficient consumer market because the market need for healthy snacks is still very much needed. With the implementation of Phase 1 activities, namely the provision of production equipment, namely ovens, product packaging tools and 2 sets of baking sheet equipment, the current production capacity of Beema Brownies has increased from a maximum of 150/package per day with an average product requirement of around 100-200 packs/sold. day to 300/pack per day using the 2 ovens that you already have. Training on the use of the equipment provided has also been carried out so that BEEMA production employees are able to use the newly provided oven equipment and packaging equipment. The amount of production has been able to meet the average demand every day. BEEMA Chocochips has also increased the HR capabilities of 2 employees who help produce in an effort to increase the amount of Chocochips production. By having a website for UKM BEEMA Chocchips, they already have the means for digital identity and digital promotional content for their products so that they are known to the wider community. Keywords: Brownies, Production, Website
Development of a Decision Tree Classifier for Breast Cancer Diagnosis Using Fine Needle Aspirate Data Halid, Agus; Wikranta Arsa, I Gusti Ngurah; Azdy, Rezania Agramanisti; Jiwa Permana, Agus Aan
Indonesian Journal of Data and Science Vol. 5 No. 3 (2024): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v5i3.202

Abstract

Breast cancer is one of the leading causes of mortality among women globally, necessitating early and accurate detection to improve survival rates. This study leverages machine learning to develop a decision tree classifier for distinguishing between benign and malignant breast masses using the Kaggle Breast Cancer FNA dataset. The dataset underwent rigorous pre-processing, including the removal of irrelevant columns, data cleaning, label encoding, and feature scaling. The model was evaluated using 5-fold cross-validation, achieving an average accuracy of 84.0%, with a test set accuracy of 83.72%. Performance metrics such as precision, recall, and F1-score further validated the model's robustness, with an overall accuracy of 90.24% on the test set. The decision tree classifier demonstrated high interpretability, making it a practical tool for aiding clinical decision-making. While the results are promising, the study highlights opportunities for improvement, including the use of ensemble methods and larger datasets to enhance generalizability. This research contributes to the growing body of evidence supporting machine learning applications in medical diagnostics, particularly in breast cancer detection.
PENINGKATAN KAPASITAS PRODUKSI DAN BRANDING CAMILAN COKLAT CHIPS PADA BEEMA BROWNIES Wijaya ADH, IGKG Puritan; Yusadara, I Gede Putra Mas; Wirawan, I Wayan Arik; Wikranta Arsa, I Gusti Ngurah; Saputra, I Made Arya Budhi; Gautama, I Made Bhaskara; Sari, Ni Made Wirastika; Rini, Erma Sulistyo; Parwita, I Made Mika; Damayanthi, Ni Putu Desy
Jurnal Berdaya Mandiri Vol. 6 No. 1 (2024): JURNAL BERDAYA MANDIRI (JBM)
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jbm.v6i1.6104

Abstract

 BEEMA Brownies, a snack manufacturer, has started producing snacks in the form of Brownies-flavored Choco Chips and several other flavors made from good quality ingredients without artificial sweeteners and preservatives. Even though in the middle of a pandemic, we are still optimistic that we can capture a sufficient consumer market because the market need for healthy snacks is still very much needed. With the implementation of Phase 1 activities, namely the provision of production equipment, namely ovens, product packaging tools and 2 sets of baking sheet equipment, the current production capacity of Beema Brownies has increased from a maximum of 150/package per day with an average product requirement of around 100-200 packs/sold. day to 300/pack per day using the 2 ovens that you already have. Training on the use of the equipment provided has also been carried out so that BEEMA production employees are able to use the newly provided oven equipment and packaging equipment. The amount of production has been able to meet the average demand every day. BEEMA Chocochips has also increased the HR capabilities of 2 employees who help produce in an effort to increase the amount of Chocochips production. By having a website for UKM BEEMA Chocchips, they already have the means for digital identity and digital promotional content for their products so that they are known to the wider community. Keywords: Brownies, Production, Website
Machine Learning-Based Prediction of HIV/AIDS Infection and Treatment Effectiveness: A Clinical Dataset Analysis Jiwa Permana, Agus Aan; Wikranta Arsa, I Gusti Ngurah; Naswin, Ahmad; Sumiyatun
International Journal of Artificial Intelligence in Medical Issues Vol. 3 No. 2 (2025): International Journal of Artificial Intelligence in Medical Issues
Publisher : Yocto Brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijaimi.v3i2.362

Abstract

The early and accurate prediction of HIV/AIDS infection is critical to improving clinical decision-making and ensuring effective patient management. This study presents a comprehensive machine learning-based approach to predict HIV/AIDS infection status and evaluate the effectiveness of antiretroviral treatments using a well-documented clinical dataset from 1996, comprising 2,139 patient records and 34 features. Through rigorous preprocessing, exploratory data analysis, and feature engineering, several new clinically relevant attributes were constructed, such as CD4/CD8 ratios and immunological change metrics. Four machine learning models—Logistic Regression, Support Vector Machine, Random Forest, and Gradient Boosting—were trained and evaluated. Among these, the Gradient Boosting classifier achieved the highest ROC-AUC score of 0.9335, while Random Forest provided strong predictive performance with a ROC-AUC of 0.9180 and was selected for further evaluation due to its model transparency. Key features influencing infection prediction included CD4+ and CD8+ dynamics, baseline immunological levels, and treatment history. Additionally, the study examined treatment effectiveness by analyzing CD4+ cell count responses across different therapy types. The combination of ZDV and ddI emerged as the most effective regimen, improving immune outcomes and lowering infection rates, while ZDV monotherapy showed the least favorable results. This work underscores the potential of machine learning as a clinical decision support tool in HIV/AIDS care and provides data-driven insights into treatment optimization. Future studies should incorporate longitudinal patient data and real-world clinical environments for broader applicability.
Co-Authors Agus Aan Jiwa Permana Agus Halid, Agus Arya Budhi Saputra, I Made Candra Ahmadi, Candra Erma Sulistyo Rini, Erma Sulistyo Eucharistia Theopilia Letedara, Eucharistia Theopilia Gautama, I Made Bhaskara IGKG Puritan Wijaya Adh, IGKG Puritan Kartika Sukma Lestari, Kartika Sukma Muchammad Naseer Naswin, Ahmad Ni Made Prabasari, Ni Made Ni Made Wirastika Sari, Ni Made Wirastika Ni Putu Desy Damayanthi . Nyoman Isaka Ramadi, Nyoman Isaka Parwita, I Made Mika Rezania Agramanisti Azdy, Rezania Agramanisti Sumiyatun Wirawan, I Wayan Arik Yundari, Yundari Yusadara, I Gede Putra Mas