Article Per Year (5 Year)
p-Index From 2020 - 2025
3.946
P-Index
This Author published in this journals
All Journal International Journal of Evaluation and Research in Education (IJERE) snimed Jurnal Teknoin SMARTICS Journal Jurnal Nasional Komputasi dan Teknologi Informasi JMIE (Journal of Madrasah Ibtidaiyah Education) Jurnal Ilmiah Sinus Indonesian Journal of Business Intelligence (IJUBI) IJIIS: International Journal of Informatics and Information Systems Jurnal Teknik Industri Terintegrasi (JUTIN) International Journal of Computer and Information System (IJCIS) Jurnal Informatika Teknologi dan Sains (Jinteks) Khazanah: Jurnal Mahasiswa Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS
Dhina Puspasari Wijaya, Dhina Puspasari
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Neuroscience Public Health Social Sciences Transportation

Published : 35 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search
Journal : Indonesian Journal of Business Intelligence (IJUBI)

 1 
PENGEMBANGAN APLIKASI ADIBA MSME SEBAGAI PENGHUBUNG LEMBAGA KEUANGAN SYARIAH DENGAN USAHA MIKRO KECIL MENENGAH Dhina Puspasari Wijaya; Dadang Heksaputra; Ragil Satria Wicaksana; Deden Hardan Gautama
Indonesian Journal of Business Intelligence (IJUBI) Vol 2, No 2 (2019): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Program Studi S1 Sistem Informasi Fakultas Komputer dan Teknik Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (952.832 KB) | DOI: 10.21927/ijubi.v2i2.1122

Abstract

Islamic banking is one of the icons or representations of Islamic Financial Institutions in Indonesia. Problems around Islamic finance are still a hot topic of discussion. Public participation in the use of financial services is an essential issue on the policy agenda of some developing countries that have underdeveloped banking and commercial systems and often only want to serve high-income customers or large companies, because uneven distribution of financial services will hamper the growth and development of a number of small businesses and poor families. Head of the Sharia Banking Department Ahmad Soekro Tratmono explained that the empirical evidence of the stigma was manifested by the fixed position of the market share of Islamic banking in Indonesia, which from 1992 until now did not exceed the 5 percent limit. Efforts to increase market share in Islamic financial institutions by using information technology. ADIBA MSME is a technology application that aims to map the distribution of the closest LKS institutions that can be accessed by Micro, Small, and Medium Enterprises (MSMEs) entrepreneurs. The existence of ADIBA MSME is expected to be a surefire solution in creating connectivity (Link and Match) between business actors and LKS so that the mobilization of LKS funds becomes more productive, effective, and efficient. With the use of ADIBA MSME technology, it can become an accelerator of regional economic growth through the utilization of Islamic financial literacy so that the use of ADIBA MSME can increase the market share of Islamic financial institutions.
ANALISIS ANTENATAL CARE (ANC) PADA SURVEILANS KESEHATAN IBU DAN ANAK DENGAN TAHAPAN AGREGASI PIPELINE NOSQL Dadang Heksaputra; M. J. U. Haris Bahrudin; Anni Karimatul Fauziyah; Dhina Puspasari Wijaya
Indonesian Journal of Business Intelligence (IJUBI) Vol 4, No 1 (2021): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Program Studi S1 Sistem Informasi Fakultas Komputer dan Teknik Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v4i1.1754

Abstract

Case 30.8 percent of Indonesian children under five are stunted. Bantul is a district in the Province of D.I. Yogyakarta, Indonesia, is a locus of stunting. Bantul has ten villages. The ten villages include Patalan Jetis Village, Canden Jetis Village, Terong Dlingo Village, Argodadi Sedayu Village, Triharjo Pandak Village, Triwidadi Pajangan Village, Jatimulyo Dlingo Village, Datangharjo Sewon Village, Sendangsari Pajangan Village, and Trimulyo Jetis Village. The research focuses on the village of Argodadi Sedayu. In the village of Argodadi Sedayu, Antenatal Care (ANC) research would be conducted. Antenatal Care (ANC) is a pregnancy check by a doctor or midwife. Therefore, Antenatal Care Analysis (ANC) is needed to determine whether diet, parenting, and sanitation are well programmed. Antenatal care (ANC) research framework was a model of method improvement. The method improvement model consists of indicators, proposed methods, objectives, and measurements. The indicators consist of monitoring instruments and health visits. The proposed method uses an aggregation pipeline stage. The data was processed in the aggregation pipeline stage. The data were obtained from the time series data surveillance dataset. The research objective was to analyze the research results accurately according to the proposed method. Measurement of indicator analysis with the application of the dashboard as a performance indicator on the research results. Practically, it is hoped that the research results could consider the health office and related institutions in reducing or even elevating Argodadi Sedayu Village in Yogyakarta as a non-locus of stunting using massive monitoring of diet, parenting, and sanitation well programmed.
IMPLEMENTASI ALGORITMA GENETIKA DALAM PENENTUAN RUTE OPTIMAL UNTUK KURIR KANTOR POS BERBASIS WEB (STUDI KASUS: KANTOR POS WATES) Imam Ihsani; Andri Pramuntadi; Deden Hardan Gutama; Dhina Puspasari Wijaya
Indonesian Journal of Business Intelligence (IJUBI) Vol 5, No 2 (2022): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v5i2.2662

Abstract

Ekspedisi menjadi media penting dalam proses pengiriman barang oleh banyak orang maupun berbagai instansi. Terlebih situasi pandemi yang membuat jasa ekspedisi kian ikut meningkat pula. Penulis melakukan penelitian pada Kantor Pos Wates yang berada di bawah perusahaan Pos Indonesia yang justru peringkatnya jauh berada di bawah ekspedisi swasta lainnya. Faktor penurunan ini kemungkinan karena permasalahan pengiriman barang oleh kurir yang disebut dengan TSP (Traveling Salesman Problem) dimana kurir kesulitan menentukan rute terpendek dalam pengantaran paket kepada pelanggan di setiap lokasi pengirimannya mulai dari titik awal sampai kembali ke titik awal lagi. Solusi permasalahan ini adalah penerapan algoritma genetika untuk pengiriman barang dengan hasil keluaran aplikasi berbasis web sehingga kurir dapat mengirimkan barang lebih efektif untuk menghemat jarak, waktu dan biaya. Algoritma genetika adalah algoritma metaheuristik sehingga mampu menyelesaikan masalah sampai optimal. Tahapan algoritma genetika meliputi pembangkitan populasi, individu, kromosom, penentuan gen, penentuan fitness, seleksi untuk mendapatkan parents, crossover untuk menghasilkan offspring, mutasi, sampai menghasilkan solusi. Dalam pembuatan aplikasi digunakan API pada Google Maps untuk menampilkan titik koordinat lokasi yang didefinisikan sebagai gen. Perancangan aplikasi ini menggunakan metode Waterfall agar proses pembuatannya dilakukan secara urut dan terstruktur. Bahasa pemrograman yang digunakan dalam perancangan ini adalah PHP untuk menanamkan algoritma genetika pada web-nya. Adapula hasil dari penelitian ini adalah aplikasi web penentu rekomendasi rute yang di-generate berdasarkan jarak terdekat yang dapat dilalui kurir.
KOMPARASI METODE SUPPORT VECTOR MACHINE DAN NAÏVE BAYES DALAM KLASIFIKASI PELUANG PENYAKIT SERANGAN JANTUNG Musthofa Galih Pradana; Pujo Hari Saputro; Dhina Puspasari Wijaya
Indonesian Journal of Business Intelligence (IJUBI) Vol 5, No 2 (2022): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v5i2.2659

Abstract

The death rate in the world per year is 17.9 million due to cardiovascular disease, including heart and blood vessel disorders. This needs to be given more attention to anticipate the possible risk of a heart attack. One of the contributions in the field of technology to provide useful information about the risk of heart disease is by using a data processing approach or data mining technique by classifying the vulnerability to heart disease risk. The classification method used is Support Vector Machine and Naïve Bayes. The classification method will be carried out in a comparative process and the method that has the best accuracy will be sought. The scenarios used are 2 test scenarios, namely dividing the training data by 20% in scenario 1 and 40% in scenario 2. The final results of the research obtained are the best accuracy in the Support Vector Machine with scenario 1 of 87%.
IMPLEMENTASI METODE TSUKAMOTO UNTUK SISTEM PEMILIHAN MAKANAN SEHAT BAGI IBU HAMIL Dhina Puspasari Wijaya; Doni Harisandi; Andri Pramuntadi; Deden Hardan Gutama
Indonesian Journal of Business Intelligence (IJUBI) Vol 6, No 1 (2023): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v6i1.3261

Abstract

Healthy Food Selection System for Pregnant Women Is a web-based system designed to help pregnant women choose healthy foods during pregnancy (Trimester 1-Trimester 3) based on the number of calories needed in one day by taking into account the nutritional adequacy rate table. The food selection system is designed with ` =the Tsukamoto fuzzy logic method with the hope that the system can produce food recommendations based on the number of calories close to the ideal standard of the Nutritional Adequacy Ratio (RDA). In order To determine the level of accuracy of the system that has been made, validation of the ideal data on the Nutrition Adequacy Rate (RDA) is carried out with a total of 20 pregnant women. The results of the validation of the data generated by the system with ideal data obtained very close results with the largest error rate of 24.89%, so the conclusion is that the healthy food selection system by applying the Tsukamoto fuzzy logic method can be used to recommend healthy foods for pregnant women.
Co-Authors Adhien Kenya Anima Estetikha Aditya, Muhammad Fahrul Amalia, Ade An-Nisa Apriani Andari, Rachma Yuni Andi Wahyudi Andri Pramuntadi Andri Pramuntadi Anni Karimatul Fauziyah Asman, Muhammad Avrillaila Akbar Harahap Dadang Heksaputra Dadang Heksaputra Dadang Heksaputra Deden Hardan Gautama Deviani Titi Nautami Dita Danianti Doni Harisandi Emiliana, Emiliana Febriani, Hilda Amalia Guatama, Deden Hardan Gutama , Deden Hardan Gutama, Deden Hardan Gutama, Deden Hardan Handy Eka Putra Anwar Haq, Fariz Abdillah Heksaputra, Dadang Imam Ihsani Insih Wilujeng Iskandar, Reza Fauzan Nur Iskarini, Ariska istiqomah istiqomah izzah, lathifatul Izzati Muhimmah KHOIRUL ANAM M. J. U. Haris Bahrudin Muhamad Irfanudin Muhammad Nur Wangid Musthofa Galih Pradana Nurona, Atmim Oktaviana, Agfa Permana, Candra Pramuntadi, Andri Prastowo, Wahit Desta Pujo Hari Saputro Putri, Mufida Awalia Qomaruzaman, Salis Nizar Ragil Satria Wicaksana Rahadian Kurniawan Ramadan, Muchammad Ilham Rahmad Rianita, Risti Nindi Riskiah, Putri Maulidatur Safitri, Nurul Aulia Sari, Mega Purnama Setiawan P, Andi Sri Kusumadewi Sri Nilawati Sri Widodo Sumanto Sumanto Wahyu A, Nova Laila Wasilaturrohmah, Wasilaturrohmah Yahya, Abdullah Yanuar Wicaksono Yusinta Dwi Ariyani