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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) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) IJIIS: International Journal of Informatics and Information Systems Jurnal Teknik Industri Terintegrasi (JUTIN) SKANIKA: Sistem Komputer dan Teknik Informatika International Journal of Computer and Information System (IJCIS) Jurnal Profesi Insinyur Universitas Lampung Jurnal Informatika Teknologi dan Sains (Jinteks) Khazanah: Jurnal Mahasiswa Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Bangun Desa : Jurnal Pengabdian Masyarakat Journal of Computing Innovations and Emerging Technologies
Dhina Puspasari Wijaya, Dhina Puspasari
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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 : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | 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 : 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.
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 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.
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.
SISTEM PAKAR PENENTUAN JUMLAH KALORI PROGRAM DIET BERBASIS WEB MENGGUNAKAN METODE FORWARD CHAINING (Studi kasus : RSA UGM Yogyakarta) Yolanda Septiana; Dhina Puspasari Wijaya; Andri Pramuntadi; Dita Danianti
Indonesian Journal of Business Intelligence (IJUBI) Vol 7 No 1 (2024): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v7i1.4267

Abstract

Diet is to adjust the diet according to the number of calories needed, dieting can be done to gain weight, and maintaining weight is not only losing weight.Therefore, calculations are needed to find out the calories needed by each human according to the criteria to be calculated, to make it easier to calculate daily calorie needs, calorie calculations are made web-based to facilitate calculations and implementation Forward chaining method. Hasil yang diharapkan dari sistem ini dapat membantu dalam menentukan jumlah asupan kalori yang tepat untuk kebutuhan.Kesimpulan dalam penelitian ini adalah:1. Metode forward chaining terbukti efektif dalam menangani penentuan jumlah kalori berdasarkan aktivitas yang dilakukan. Pendekatan ini memungkinkan sistem untuk secara sistematis mengidentifikasi kebutuhan kalori harian.2. Sistem ini dapat memberikan rekomendasi kalori berdasarkan informasi yang diberikan oleh pengguna, sehingga dapat membantu dalam mencapai tujuan diet secara lebih efektif dengan mempertimbangkan faktor-faktor seperti tingkat aktivitas fisik, berat badan, tinggi badan, usia serta jenis kelamin. 3. Selama proses penerapan penerapan sistem pakar penentuan jumlah kalori program diet berbasis web dengan metode forward chaining, dilakukan perancangan sistem ini dan pembuatan database untuk memastikan bahwa semua data terkait dapat diintegrasikan dan disimpan dalam database. 4. Penelitian menghasilkan pembuatan website yang dapat mengetahui status gizi dan kebutuhan kalori pada orang dewasa 17 – 45 tahun.
PENGGUNAAN DAN NIAT PERILAKU MENGGUNAKAN SISTEM INFORMASI DESA DI ANTARA PEMERINTAH KALURAHAN MURTIGADING DENGAN PENDEKATAN MODEL UTAUT-2 Dadang Heksaputra; Ragil Satria Wicaksana; Dhina Puspasari Wijaya; Vega Lavenia; Akbar Nur Rizqi
Indonesian Journal of Business Intelligence (IJUBI) Vol 7 No 2 (2024): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v7i2.4817

Abstract

The village information system has experienced significant growth, but research focusing on user adoption behavior in the Kalurahan Murtigading government area remains limited. Additionally, most studies use a single theoretical framework to explore this behavior. Addressing this gap, this study applies the UTAUT-2 framework to analyze the key factors influencing behavioral intention to use the village information system among the Kalurahan Murtigading government, with the addition of perceived security and epistemic value as other influencing factors. The study employs a survey approach with a cross-sectional design, and the proposed conceptual model was tested using partial least squares-structural equation modeling (PLS-SEM) analysis on 38 samples, with no issues of non-response bias (NRB) and common method bias (CMB). The results indicate that the UTAUT-2 constructs, along with the additional factors, significantly influence behavioral intention, with social influence, effort expectancy, and epistemic value being the top three factors affecting behavioral intention. These findings can also assist stakeholders in developing effective strategies to encourage more individuals, especially in the Kalurahan Murtigading government area, to adopt the village information system.
Sosialisasi Mengenai Anemia dan Pemberian Tablet Tambah Darah Bagi Remaja Perempuan dalam Upaya Pencegahan Stunting di Desa Tembelang, Candimulyo, Magelang Agnum Ika Wulandari; Syifa Atikah Ardi; Fatma Aidha Tatuhey; Ngidoti Musonah; Vita Aulia Rizki; Liansya Ayu Sariperkasi; Sofyan Indrayana; Dhina Puspasari Wijaya
Bangun Desa: Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2022)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/jbd.2022.1(2).55-59

Abstract

AbstrakAnemia atau kurangnya zat besi merupakan satu masalah gizi yang tidak kunjung teratasi di beberapa wilayah di Indonesia. Remaja perempuan sebagai calon Ibu perlu mendapat perhatian sebagai upaya pencegahan anemia yang merupakan faktor terjadinya stunting pada generasi yang akan dating. Sosialisasi dan tablet tambah darah penting dilakukan untuk mencegah kekurangan zat besi (Fe). Metode yang digunakan dalam kegiatan ini yaitu sosialisasi melalui ceramah dengan mengerjakan soal pre-test dan post-test sebagai tolak ukur ilmu remaja perempuan terkait anemia. Tablet Tambah Darah (TTD) diberikan kepada setiap peserta yang hadir dalam sosialisasi ini. Hasil yang diperoleh dari 16 peserta kegiatan, yaitu 4 orang tidak mengalami perubahan skor nilai, 12 orang mengalami peningkatan skor penilaian yang dapat dilihat melalui hasil pre-test dan post-test. Hasil ini menunjukkan secara umum ada peningkatan pemahaman terhadap anemia setelah diberikan Pendidikan Kesehatan. Diharapkan kegiatan ini dapat diteruskan oleh kader kesehatan dan peserta mampu mengaplikasikan ilmu yang didapat dalam kehidupan sehari-hari.Kata kunci : Anemia, Stunting, Tablet Tambah Darah, Remaja, Defisiensi besiAbstractIron Deficiency Anemia is one of health problem that no been resolved yet in some Region in Indonesia. Adolescent female as prospective mothers need attention as an effort to prevent anemia which is a factor in the occurrence of stunting in future generations. Hence health educations related to anemia and giving blood supplement tablets are important to prevent iron deficiency. The method used in this activity was socialization through lectures by working on pre-test and post-test questions as a benchmark for knowledge of young women related to anemia. Blood supplement tablets were given to those who participated in the socialization. The results the pre-test and post-test obtained from 16 participants were 4 people (25%) did not experience a change in score, meanwhile 12 (75%) participants experienced an increase in assessment scores. Generally, the results showed an increased understanding of anemia after health education. Hopefully, this activity could be continuous by Health Cadres, and the participants able to apply the knowledge in daily life.Keywords : Anemia, Stunting, Blood supplement tablets, Adolescent female, Iron deficiency
Prediksi Kunjungan Wisatawan Di Kabupaten Bantul Menggunakan Metode Seasonal Autoregressive Integrated Moving Average (SARIMA) Anisa Tri Banowati; Dhina Puspasari Wijaya; Dita Danianti; Deden Hardan Gutama
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 8 No 2 (2025): Jurnal SKANIKA Juli 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v8i2.3583

Abstract

The Bantul Regency Tourism Office faces challenges in collecting tourist attraction data because it is still done manually. This study aims to develop a web-based prediction system using the Seasonal Autoregressive Integrated Moving Average (SARIMA) method. This system is designed to facilitate data collection on tourist attractions while generating predictions of visitor numbers. Based on the results of accuracy testing using MAE (Mean Absolute Error) and MAPE (Mean Absolute Percentage Error), the Parangtritis and Depok Beach tourist areas have MAE values of 35,157.41 and MAPE 22.75%, indicating a fairly large absolute prediction error but still reasonable considering the high volume of visits. Meanwhile, Samas Beach recorded the highest MAPE value of 165.22%, due to data fluctuations that make predictions inaccurate. Conversely, predictions for Goa Cemara Beach, Kwaru Beach, Goa Selarong Area, and Goa Cerme Area have MAPE values below 15%, indicating the model is able to provide fairly good prediction results with a small average error. However, at Pandansimo Beach, the MAPE value reached 46.47%, indicating the model was not yet adequate for this location due to unstable data trends. The results showed that the SARIMA model can be applied to a system to predict tourist visits, but with varying levels of accuracy at each tourist destination, depending on the stability of each tourist destination's data. Keywords: Tourist visit prediction, SARIMA, time series forecasting, web-based system, Bantul Regency Tourism Office
Co-Authors Adhien Kenya Anima Estetikha Aditya, Muhammad Fahrul Agnum Ika Wulandari Ahmad Subhan Yazid Akbar Nur Rizqi Amalia, Ade An-Nisa Apriani Andari, Rachma Yuni Andi Wahyudi Andri Pramuntadi Andri Pramuntadi Anisa Tri Banowati Anni Karimatul Fauziyah Asdistia, Sindy Avrillaila Akbar Harahap Dadang Heksaputra Dadang Heksaputra Dadang Heksaputra Deden Hardan Gautama Deviani Titi Nautami Dita Danianti Dita Danianti Doni Harisandi Emiliana, Emiliana Fatma Aidha Tatuhey Febriani, Hilda Amalia G. Gunawan Guatama, Deden Hardan Gutama , Deden Hardan Gutama, Deden Hardan Gutama, Deden Hardan Handy Eka Putra Anwar Haq, Fariz Abdillah Heksaputra, Dadang Imam Ihsani Indrayana, Sofyan Insih Wilujeng Iskandar, Reza Fauzan Nur Iskarini, Ariska istiqomah istiqomah izzah, lathifatul Izzati Muhimmah KHOIRUL ANAM Liansya Ayu Sariperkasi M. J. U. Haris Bahrudin Muhamad Irfanudin Muhammad Nur Wangid Musthofa Galih Pradana Ngidoti Musonah Nuramadanti, Izati Nurona, Atmim Nurul Mega Saraswati Oktaviana, Agfa Permana, Candra Pipit Febriana Dewi Pramuntadi, Andri Prastowo, Wahit Desta Pujo Hari Saputro Putri, Mufida Awalia Ragil Satria Wicaksana Rahadian Kurniawan Ramadan, Muchammad Ilham Rahmad Rianita, Risti Nindi Riskiah, Putri Maulidatur Safitri, Eli Safitri, Nurul Aulia Salis Nizar Qomaruzaman Sari, Mega Purnama Setiawan P, Andi Sri Kusumadewi Sri Nilawati Sri Widodo Syamsiar, Syamsiar Syifa Atikah Ardi Vega Lavenia Vita Aulia Rizki Wahyu A, Nova Laila Wasilaturrohmah, Wasilaturrohmah Yahya, Abdullah Yanuar Wicaksono Yolanda Septiana Yusinta Dwi Ariyani Yusnita, Shella