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All Journal REKA RACANA Karya Ilmiah S.1 Ilmu Keperawatan Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) JTERA (Jurnal Teknologi Rekayasa) Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Journal of Science and Engineering Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Aptisi Transactions on Technopreneurship (ATT) Amwaluna Jurnal Ekonomi dan Keuangan Syariah Jurnal Ilmiah Tatengkorang Jurnal Teknik Sipil dan Teknologi Konstruksi Indonesian Journal of Electrical Engineering and Computer Science Jurnal Cahaya Mandalika PROFESSIONAL HEALTH JOURNAL Tedc Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pengabdian West Science Edukasi Masyarakat Sehat Sejahtera (EMaSS) EDUCATUM: Scientific Journal of Education Amwaluna: Jurnal Ekonomi dan Keuangan Syariah ⁠International Journal of Sustainable Social Culture, Science Technology, Management, and Law Humanities
Ira Puspitasari
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Diagnosa Gangguan Perkembangan Anak Dengan Metode Fuzzy Expert System Arisandi, Diki; Puspitasari, Ira; Annisah, Annisah
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 8 No. 1 (2017): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (331.852 KB) | DOI: 10.31849/digitalzone.v8i1.613

Abstract

Abstrak- Anak-anak dibawah umur 10 tahun merupakan fase yang sangat perlu diperhatikan perkembangannya oleh orang tua dan dibantu oleh pakar, apakah mengalami gangguan perkembangan atau tidak. Gangguan perkembangan anak dapat didiagnosis dari perilaku yang diperlihatkan oleh anak dengan cara observasi oleh seorang pakar psikologi anak. Hasil diagnosa dari observasi yang dilakukan beberapa pakar bisa saja berbeda. Hal ini membuat para orang tua menjadi kebingungan terhadap tindak lanjut yang harus dilakukan kepada anak mereka. Untuk mempermudah mendiagnosis gangguan perkembangan pada anak perlu adanya sebuah sistem pakar berbasis Fuzzy. Metode Fuzzy yang diterapkan didasari atas rentang logika berpikir manusia seperti dingin dan panas, tinggi dan rendah, dan lainnya. Diharapkan dengan adanya sistem pakar berbasis fuzzy ini, hasil diagnosa dapat menghasilkan solusi seperti nalar manusia dari sehingga didapatkan solusi untuk tindak lanjut pada gangguan anak. Kata kunci: Diagnosa, Fuzzy, Fungsi Keanggotaan, Gangguan perkembangan, Sistem Pakar. Abstract- Children under 10 years is a critical phase of their developmental and should be noticed by parents and assisted by experts, whether experiencing developmental disruption or not. Children developmental disruption can be diagnosed from behaviors shown by children by observation by a psychologist. Diagnosis results from observations made by some experts may be different. This makes the parents become confused about the follow-up to be done to their children. A Fuzzy-based expert system is needed to overcome the children developmental disruption. The applied Fuzzy method is based on the logical range of human thinking such as cold and hot, high and low, and others. With the fuzzy-based expert system, the diagnostic results can produce solutions such as human reasoning from that obtained a solution to following up on children disruption. Keywords: Diagnosis, Fuzzy, Membership Function, Developmental Disruption, Expert System.
PEMERIKSAAN DENYUT NADI, TEKANAN DARAH, DAN GLUKOSA DARAH DI POSYANDU LANSIA ABIYOSO POLKESBAYA Ervi Husni; Tatarini Ika Pipit Cahyani; Sherly Jeniawaty; Dina Isfentiani; Ani Media Harumi; Ira Puspitasari; Ira Rahayu Tiyar Sari; Yuni Ginarsih; Dwi Purwanti; Ulfa Hidayah; Puspita Zella Wigati; Luthfi Rusyadi; Juliana Christyaningsih; Melania Rizerda Pebianti
Edukasi Masyarakat Sehat Sejahtera (EMaSS) : Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 2 (2024): Juli
Publisher : Poltekkes Kemenkes Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37160/emass.v6i2.400

Abstract

Upaya pemeliharaan kesehatan lansia dilakukan sejak lansia berusia 60 tahun dengan tujuan untuk menjaga agar tetap hidup sehat, berkualitas, dan mandiri. Kesehatan fisik dan mental menjadi faktor penting yang perlu diperhatikan pada lansia. Kegiatan pengabdian kepada masyarakat yang diselenggarakan pada tanggal 6 September 2023, berlokasi di Poltekkes Kemenkes Surabaya, dihadiri 38 lansia. Alat yang digunakan untuk pemeriksaan tekanan darah dan denyut nadi menggunakan alat tensimeter sedangkan pemeriksaan glukosa darah acak menggunakan alat point of care. testing (POCT). Hasil yang didapat adalah lansia yang ikut program ini terbanyak 68% berjenis kelamin perempuan, selain itu ada 12 dari 26 (32%) lansia memiliki memiliki tekanan darah tinggi. Terdapat 1 dari 38 (3%) lansia memiliki denyut nadi di atas batas normal dan 3 dari 38 (8%) lansia dengan kadar glukosa darah di atas batas normal. Hal ini menunjukkan bahwa kondisi kesehatan lansia harus tetap dipantau anggota keluarga lainnya agar lansia selalu sehat, Kata kunci: Denyut nadi, tekanan darah lansia, kadar glukosa darah, Posyandu lansia Abiyoso Polkesbaya
Mutual information-MOORA based feature weighting on naive bayes classifier for stunting data Prabiantissa, Citra Nurina; Hakimah, Maftahatul; Rozi, Nanang Fakhrur; Puspitasari, Ira; Yamani, Laura Navika; Mahendra, Victoria Lucky
Indonesian Journal of Electrical Engineering and Computer Science Vol 36, No 2: November 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v36.i2.pp972-982

Abstract

One effort to reduce stunting rates is to predict stunting status early in toddlers. This study applies Naive Bayes (NB) to build a stunting prediction model because it is simple and easy to use. This study proposes a filter-based feature weighting technique to overcome the NB assumption, which states that each feature has the same contribution to the target. The frequency of an event in a dataset influences the feature weighting using mutual information criteria. This is the gap in the filter-based ranking highlighted in this study. Therefore, this study proposes a feature-weighting method that combines mutual information with the MOORA (MI-MOORA) decision-making method. This technique makes it possible to include external factors as criteria for ranking important features. For stunting cases, the external consideration for ranking purposes is the assessment of nutrition experts based on their experience in dealing with stunted toddlers. The MI-MOORA technique makes the availability of clean water the most influential feature that contributes to the stunting status. In the ten best features, the MI-MOORA ranking results are dominated by family factors. Based on the performance evaluation results of NB and other classifiers, MI-MOORA can improve the performance of stunt prediction models.
Identifying Twitter Topics Using K-Means Clustering and Association Rule Mining for Improved Insights Lengari, Cristiany Gunu; Puspitasari, Ira
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 1 (2025): March 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i1.31720

Abstract

The annual growth in social media users has led businesses to increasingly leverage these platforms for marketing, promotion, and addressing public complaints. Twitter, now known as X, stands out as one of the most widely used social media platforms. It serves as a forum for various opinions and complaints regarding services provided by businesses. This study focuses on analyzing public opinions related to Indihome services, as expressed on the @indihomecare Twitter account. These opinions range from expressions of support to complaints about internet services and Indihome's responses to these issues. This study employs a text clustering approach using the K-means algorithm on Twitter data, complemented by association rules to identify topics related to Indihome customer complaints. The optimal number of clusters is determined using the Elbow method, while Word Cloud visualizations are utilized to illustrate frequently occurring words within each cluster. The application of association rules revealed that the most frequently appearing words, with a support value of 0.057, were "indihome," "account," "whatsapp," and "channel." These findings provide insights into the primary concerns and communication channels used by Indihome customers on Twitter
Segmentasi Pelanggan dengan Algoritma Clustering Berdasarkan Atribut Recency, Frequency dan Monetary (RFM): Customer Segmentation with Clustering Algorithm Based on Recency, Frequency, and Monetary (RFM) Attributes Fadhillah, Muhamad Fikri; Suyoso, Aldo Lovely Arief; Puspitasari, Ira
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 1 (2025): MALCOM January 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i1.1491

Abstract

Perdagagan bebas yang disepakati dengan negara maju menimbulkan perubahan karakter konsumen di Indonesia [1] ditambah efek pandemi Covid-19 semua komoditi dalam negeri hampir mengalami penuruan penjualan dan laba usaha tiap tahunnya[2]. Perusahaan harus mengubah strategi lain dalam menarik pelanggan menggunakan data karakteristik pelanggan yang berbeda-beda salah satunya data transaksi penjualan [3]. Data tersebut nantinya akan disegmentasi dengan metode clustering. Clustering adalah teknik analisis data yang bertujuan mengelompokkan objek-objek ke dalam grup atau klaster berdasarkan kesamaan karakteristik atau fiturnya. Analisis data dengan clustering diperlukan untuk mengidentifikasi pola dan mengekstrak informasi dari kumpulan data dengan variasi dan jumlah besar, seperti pada identifkasi segmentasi pelanggan. Hasil clustering ini akan memudahkan dalam merumuskan startegi pemasaran berorientasi pelanggan. Penelitian ini menggunakan model Recency, Frequency, and Monetary (RFM) sebagai atribut utama dan teknik clustering k-means, agglomerative, dan DBSCAN. Evaluasi berdasarkan silhouette score, Davis-Bouldin index, dan Calinski-Harabasz index menunjukkan hasil terbaik pada pembentukan tiga cluster dengan algoritma k-means untuk segmentasi pelanggan dalam penelitian ini dengan indeks silhouette score sebesar 0.364, davis-bouldin sebesar 0.93 dan calinski-harabasz sebesar 1303.6 ini menghasilkan 3 klaster pelanggan loyal customer, adequate customer dan churn atau lost customer.
Analisis Praktik Etika Bisnis Syariah (Studi Kasus Pasar Leuwiliang) Puspitasari, Ira
Amwaluna: Jurnal Ekonomi dan Keuangan Syariah Vol. 3 No. 1 (2019): Amwaluna: Jurnal Ekonomi dan Keuangan Syariah
Publisher : UPT Publikasi Ilmiah UNISBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/amwaluna.v3i1.6365

Abstract

In Islam, ethics is a character as a form of self-development towards human relations with Allah SWT and human relations with fellow beings. This study aims to determine sharia business ethics among Muslim traders in the Leuwiliang market. Data collection methods are carried out using qualitative methods. This research informant numbered 25 people. This data was obtained from interviews with traders at the Leuwiliang market. The results of the study found that not all traders in Leuwiliang Market were aware of sharia business ethics, but from the answers they gave regarding maintaining product halal and how to maintain customer trust it could be said that they had at least implemented business ethics in sharia.
Hubungan Dukungan Keluarga Terhadap Kepatuhan Minum Obat Pada Pasien Stroke Berulang Wyssie Ika Sari; Fetreo Negeo Putra; Ira Puspitasari
PROFESSIONAL HEALTH JOURNAL Vol. 5 No. 1 (2023): Desember
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (PPPM) STIKES Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54832/phj.v5i1.642

Abstract

Abstract Recurrent stroke is one of the complications that often occurs after a stroke and can be more fatal than the first stroke, due to the increasing extent of brain damage that occurs. The efforts that can be done include medication adherence and family support, family support is needed, especially for stroke patients who are also chronic diseases and require taking drugs for a long time. This study aims to identify family support, medication adherence, and analyze the relationship of family support to medication adherence in recurrent stroke patients at Wava Husada Hospital. The design of this research is correlational descriptive with a cross sectional approach. The sample size was 65 respondents using purposive sampling that met the inclusion criteria. The independent variable is family support while the dependent variable is medication adherence. Data were collected using a questionnaire and analyzed using Pearson with a significance level of =0.05. The results showed that the relationship between family support and adherence was p=0.014 with a correlation coefficient of 0.304. It can be concluded that there is a relationship between family support for medication adherence, where the better the support provided, the higher the level of medication adherence. The role of nurses is important in providing education to families regarding medication adherence because it will determine the success of the therapeutic regimen in preventing recurrent stroke. Keywords: family support, medication adherence, recurrent stroke Abstrak Stroke berulang merupakan salah satu komplikasi yang sering timbul setelah post stroke dan bisa lebih fatal dari stroke pertama, karena bertambah luasnya kerusakan otak yang terjadi. Adapun upaya yang dapat dilakukan diantaranya adalah kepatuhan minum obat dan dukungan keluarga, dukungan keluarga sangat diperlukan terutama pada penderita stroke yang juga merupakan penyakit kronik dan mengharuskan mengkonsumsi obat dalam jangka waktu yang lama. Penelitian ini bertujuan untuk mengidentifikasi dukungan keluarga, kepatuhan berobat, dan menganalisa hubungan dukungan keluarga terhadap kepatuhan minum obat pada pasien stroke berulang di RS Wava Husada. Desain penelitian ini adalah deskriptif korelasional dengan pendekatan cross sectional. Besar sample sebanyak 65 responden dengan menggunakan purposive sampling yang memenuhi kriteria inklusi. Variabel independen adalah dukungan keluarga sedangkan variabel dependen adalah kepatuhan minum obat. Data dikumpulkan menggunakan kuesioner dan dianalisis menggunakan pearson dengan tingkat signifikansi ɑ=0,05. Hasil penelitian menunjukkan hubungan dukungan keluarga terhadap kepatuhan p=0,014 dengan nilai koefisien korelasi 0,304. Dapat disimpulkan bahwa terdapat hubungan dukungan keluarga terhadap kepatuhan minum obat, dimana semakin baik dukungan yang diberikan maka tingkat kepatuhan minum obat akan meningkat. Peran perawat penting dalam pemberian edukasi kepada keluarga terkait kepatuhan minum obat karena akan mementukan keberhasilan regimen terapeutik terhadap pencegahan stroke berulang. Kata kunci : dukungan keluarga, kepatuhan minum obat, stroke berulang
Kajian Eksperimental Pemanfaatan Sampah Plastik HDPE Terhadap Berat Isi Beton Ringan Puspitasari, Ira; Firstiana, Amelia
RekaRacana: Jurnal Teknik Sipil Vol 11, No 1: Maret 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaracana.v11i1.43

Abstract

ABSTRAKSampah plastik yang tidak didaur ulang sebelum dibuang dapat menjadi masalah lingkungan serius. Pada penelitian ini menginvestigasi penggunaan limbah plastik HDPE (High Density Polyethylene) sebagai pengganti sebagian agregat halus dalam campuran beton. Dengan variasi penambahan limbah plastik HDPE sebesar 0%, 3%, 5%, dan 7% dari total pasir, Benda uji pada percobaan ini berupa silinder beton yang akan diuji kuat tekan dan berat volume, dengan mix design yang sesuai dengan standar SNI 03-2834-2000. Hasil penelitian ini menunjukkan bahwa penambahan agregat plastik HDPE pada campuran beton dapat mengurangi berat volume beton sebesar 1,03%, 2,35%, dan 6,16% untuk variasi 3%, 5%, dan 7%. Dari penelitian ini penambahan plastik HDPE dapat menghasilkan beton yang lebih ringan namun dengan penurunan dalam kuat tekan, sehingga penggunaannya harus disesuaikan dengan kebutuhan yang spesifik dalam konstruksi.Kata kunci: beton, HDPE (High Density Polyethylene), berat isi ABSTRACTPlastic waste that is not recycled before disposal can be a serious environmental problem. This study investigated the use of HDPE (High Density Polyethylene) plastic waste as a partial substitute for fine aggregate in concrete mixtures. With variations in the addition of HDPE plastic waste of 0%, 3%, 5%, and 7% of the total sand, the test object in this experiment was a concrete cylinder that would be tested for compressive strength and volume weight, with a mix design that complies with the SNI 03-2834-2000 standard. The results of this study indicate that the addition of HDPE plastic aggregate to the concrete mixture can reduce the volume weight of concrete by 1.03%, 2.35%, and 6.16% for variations of 3%, 5%, and 7%. From this study, the addition of HDPE plastic can produce lighter concrete but with a decrease in compressive strength, so its use must be adjusted to specific needs in construction.Keywords: concrete, HDPE (High Density Polyethylene), compressive strength 
Research and Development in Accounting Science with a Qualitative Approach Methodology Susilo, Tri Achmad Budi; Setiawan, Ainur Rahim; Sinaga, S. Bungaran; Irianti, Rosi; Moch. Dicky Riza; Ira Puspitasari
⁠International Journal of Sustainable Social Culture, Science Technology, Management, and Law Humanities Vol. 1 No. 1 (2024)
Publisher : Universitas Kristen Cipta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71131/2544t390

Abstract

The purpose of writing this article is to describe and deepen the study of qualitative interpretive accounting with various schools of thought, describe the advantages and limitations of interpretive accounting research and show the low level of qualitative interpretive research compared to quantitative research in Indonesia. The method used in this research is to use a qualitative approach with secondary data methods, namely through literature studies obtained from journals or articles that support. Positive/qualitative and interpretative/qualitative research models are complementary research models, there is no dichotomy between the two. The relationship between accounting and sociology and the continuous development of society is strong enough to underline the need to develop interpretative/qualitative research in accounting. The identification of research methods using solipsism, phenomenology, hermeneutics, ethnographic methodology, and symbolic interactionism is based on the ontological and epistemological assumptions of the research, for researchers to determine the most suitable method. So that qualitative research does not become a complement in the development of accounting science, it becomes a paradigm choice in developing research.
The Urgency of Financial Management of Micro, Small and Medium Enterprises (MSMEs) Grocery Stores with Accounting Management wahyono, Tries edy; Pakage , Ferdinant; Widjanarko , Bambang; Fahmi, Moh Farih; Abd Raihan; Puspitasari, Ira
⁠International Journal of Sustainable Social Culture, Science Technology, Management, and Law Humanities Vol. 1 No. 2 (2024)
Publisher : Universitas Kristen Cipta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71131/vyfr7b11

Abstract

This study aims to determine the state of financial redulation of grocery stores in Malang and the opinions of business people regarding the application of accounting-based financial science. This research was conducted using a descriptive method with a qualitative approach, which is based on the results of observations and interviews with informants. Three business owners of grocery stores in Malang became informants in this study, namely informant A, informant B, and informant C. The three informants did not have basic knowledge related to the financial management of grocery stores in Malang. The three informants do not have basic knowledge related to financial management, nor have they participated in financial training from government agencies or private agencies. Based on the results of the brief research above, it can be concluded that the MSME players of Grocery Stores in Malang who have been selected by the researcher, do not fully know the importance of applying accounting science in managing their business finances. In addition, there must be support from the government to facilitate this accounting-based financial management knowledge, taking into account the opinions of business actors, if they cannot leave the business to attend training, it can be facilitated online.
Co-Authors Abd Raihan Achmad Djunawan Ahmad Syamsul Falah Akhbar, Try Kurniawan Ani Media Harumi Anip Febtriko, Anip Annisah, Annisah Aprila, Nila Arisandi, Diki Atmaranti, Salsabila Devina Badrus Zaman Citra Nurina Prabiantissa Denny Adi Prasetyo Dwi Purwanti Edy Haryanto Endro Yulianto Enny Mar’atus Sholihah Ervi Husni, Ervi Fadhillah, Muhamad Fikri Fahmi, Moh Farih Fandhilah Fandhilah FATIMAH FATIMAH Febdian Rusydi Ferry Kriswandana Fetreo Negeo Putra Firstiana, Amelia Fitri Noor Febriana Ginarsih, Yuni Harlina . Heryanto Adi N Hilmi Yumni I Dewa Gede Hari Wisana Imam Sarwo Imam Yuadi Irianti, Rosi Irwan Sulistio Isfentiani, Dina Isnanto Juliana Christyaningsih Kurniawan Akhbar, Try Laura Navika Yamani Lengari, Cristiany Gunu Liliek Soetjiatie Luthfi Rusyadi Maftahatul Hakimah, Maftahatul Mahendra, Victoria Lucky Mamat Supriyono Melania Rizerda Pebianti MINARTI Moch. Dicky Riza Nanang Fakhrur Rozi Ni Made Suci Sukmawati Noorminshah A. Iahad Novita Sari Nurdin, Muhamad Irfan Nurdin, Muhammad Irfan Nurhazizah, Elwin Dewi Pakage , Ferdinant Pradhana, Andrea Thrisiawan Purbandini Soeparman, Purbandini Puspita Zella Wigati Putra, Danang Adi Rahmatullah, Ridhwan Muhammad Fauzan Retno Sasongko Wati Rokhmalia, Fitri Rousyati Rousyati Sari, Ira Rahayu Tiyar Sembiring, Rinawati Setiawan, Ainur Rahim Sherly Jeniawaty Sinaga, S. Bungaran Siti Mar'atus Siti Masitoh Slamet Wardoyo SRI UTAMI Sulistyowati, Dwi Wahyu Wulan Susilo, Tri Achmad Budi Suyoso, Aldo Lovely Arief Tatarini Pipit Ika Cahyani Taufiqurrahman Tries Edy Wahyono ulfa hidayah Upin, La Ode Widjanarko , Bambang Wijayati, Indah Oktari Wyssie Ika Sari Yasin, Affan Zaidulfar, Harianto Zakiyyah, Amirah Zidny, Irvan Zulfaida, Arini