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All Journal Jurnal Matematika: MANTIK IJIES (International Journal of Innovation in Enterprise System) Community Development Journal: Jurnal Pengabdian Masyarakat Darmabakti : Junal Pengabdian dan Pemberdayaan Masyarakat Jurnal Pengabdian kepada Masyarakat Journal of Advanced Technology and Multidiscipline (JATM)
Chandrawati Putri Wulandari
Universitas Airlangga
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Public Health Social Sciences Other

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Penambangan pola non-zero-rare sekuensial pada pengenalan aktifitas Mohammad Iqbal; Chandrawati Putri Wulandari; Wawan Yunanto; Ghaluh Indah Permata Sari
Jurnal Matematika MANTIK Vol. 5 No. 1 (2019): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (434.717 KB) | DOI: 10.15642/mantik.2019.5.1.1-9

Abstract

Discovering rare human activity patterns—from triggered motion sensors deliver peculiar information to notify people about hazard situations. This study aims to recognize rare human activities using mining non-zero-rare sequential patterns technique. In particular, this study mines the triggered motion sensor sequences to obtain non-zero-rare human activity patterns—the patterns which most occur in the motion sensor sequences and the occurrence numbers are less than the pre-defined occurrence threshold. This study proposes an algorithm to mine non-zero-rare pattern on human activity recognition called Mining Multi-class Non-Zero-Rare Sequential Patterns (MMRSP). The experimental result showed that non-zero-rare human activity patterns succeed to capture the unusual activity. Furthermore, the MMRSP performed well according to the precision value of rare activities.
Designing Decision Support System for Midwifery Students’ Tuition Fees Problem Chandrawati Putri Wulandari; Aryo Pinandito
International Journal of Innovation in Enterprise System Vol 5 No 02 (2021): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v5i02.101

Abstract

Education is an essential need and an important element to create a broad-minded youth. While in Indonesia, the rate of tuition fees is still imbalanced with the economic rate. Thus, many people decided to discontinue their higher education. Decision making plays an important role to manage organizations, including in educational institutions, as one of the main duties in managerial is making decisions. This study took place in a midwifery academy in Malang. In response to this situation, the academy has a policy to alleviate students by paying the tuition fees in instalments. However, many students are in arrears as the result of this policy. Thus, management needs to take some consideration before making a decision toward the problem. Those considerations require high accuracy and time consuming to process information that support decision making. Currently, the decision-making process in this academy is still semi-automated, in which some processes are still done manually, which affect longer time to make decisions, and the accuracy of calculations could not be fully guaranteed. According to this condition, the purpose of this research is to design a decision support system that enables us to process information for decision making and to offer decision alternatives for decision makers. This research employs Systems Development Life Cycle (SDLC) with a decision table as a method to create decision alternatives. The prototype was developed using Visual Studio C#.Net. The result shows that by using the proposed prototype of DSS, decision makers can reduce 5-10 minutes of decision making process compared to the old semi-automated system which still required manual calculation and data collection and analysis before making the decision. A complete data and more detailed parameters for decision criteria are required to implement the proposed prototype of DSS in the institution with more objective consideration in the decision making process as the future work.
SOSIALISASI PARAMETER KUALITAS AIR DAN PELATIHAN PENGGUNAAN DAN PERAWATAN FILTER AIR DI DESA JATIPRAHU KECAMATAN KARANGAN KABUPATEN TRENGGALEK Aisyah Dewi Muthi’ah; Gunawan Setia Prihandana; Chandrawati Putri Wulandari; Shofa Aulia Aldhama; Affiani Machmudah; Hanifah Nurroidah; Miftachul Jannah; Mohammad Sandiasri Suprapto; Prasasti Ikrar Luhur
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 5: Oktober 2021
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v1i5.402

Abstract

Air merupakan kebutuhan vital bagi kehidupan manusia, yang jika gagal dipenuhi maka akan muncul kerawanan kesehatan maupun sosial. Minimnya akses air bersih utamanya di daerah pelosok Indonesia membuat masyarakat terpaksa menggunakan air dengan kualitas yang kurang memenuhi standar kesehatan. Permasalahan umum yang ditemui adalah tingginya kandungan zat besi (Fe), mangan (Mn), atau zat kapur, sehingga masyarakat harus membeli air bersih untuk konsumsi sehari-hari. Salah satu daerah yang memiliki air dengan kandungan kapur yang tinggi adalah Desa Jatiprahu Kabupaten trenggalek. Program pengabdian kepada masyarakat ini bertujuan meningkatkan kesadaran akan pentingnya air bersih dan menyediakan filter air untuk menjamin akses tersedianya air bersih untuk kebutuhan rumah tangga, terutama di daerah-daerah yang memiliki kualitas air tanah atau air permukaan yang tidak memenuhi standar kesehatan. Sistem penyaring air yang akan disediakan memiliki kemampuan untuk mereduksi kandungan zat kapur dan juga mampu menjernihkan air.
Analisis Beban Fisiologi Kerja pada Penggunaan Masker Wajah saat Melakukan Aktivitas Fisik Shofa Aulia Aldhama; Chandrawati Putri Wulandari; Rike Surya Shafarani; Valencia Tesalonika; Priskila Yohana; Tozati Intan Ramadhani; Gilang Fadly Hassani
Journal of Advanced Technology and Multidiscipline Vol. 1 No. 2 (2022): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (345.034 KB) | DOI: 10.20473/jatm.v1i2.40345

Abstract

During the COVID-19 pandemic people are required to limit outside activities and keep following social distancing protocol. However, several studies have reported that indoor exercises have a greater risk toward COVID-19 virus infection. Therefore, wearing a mask during light to moderate intensity of outdoor physical activity is still recommended. We conduct an experiment to analyze physiological ergonomics aspect, whether people wearing different type of masks during physical activities and distraction of music would affect heart rate. Analysis of the average heart rate data was carried out using the calculation of VO2max and Energy Expenditure to determine the workload level of the four scenarios of treatment combination. The result shows a heavy level of physical load on the use of surgical mask with distraction of music and moderate level of physical load on the use of surgical without distraction of music.
ESKALASI KEMAMPUAN MENGOLAH DATA BAGI KADER DESA MENGGUNAKAN TEKNOLOGI INFORMASI Ratih Ardiati Ningrum; Chandrawati Putri Wulandari; Mohammad Ghani; Dwi Rantini; Fikri Arif Abdillah; Adam Maurizio Winata
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2023): Volume 4 Nomor 1 Tahun 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v4i1.12130

Abstract

Peran penting pengolahan data semakin disadari karena diperlukan untuk memberikan gambaran dan informasi penting tentang suatu kumpulan data. Pengolahan data yang tepat dapat menjadi pedoman dalam pembuatan kebijakan. Perkembangan teknologi yang sangat pesat mendorong hampir semua lingkungan untuk memanfaatkan teknologi informasi secara maksimal. Menggunakan data kependudukan dapat membantu mengidentifikasi kondisi sosial-demografi desa. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan keterampilan kader desa dalam menggunakan Google Data Studio dan Microsoft Excel untuk mendukung analisis data dalam pengelolaan data kependudukan. Kegiatan berlangsung pada bulan Agustus 2022 dengan melibatkan 25 orang kader desa sebagai peserta pelatihan. Peningkatan kemampuan peserta kegiatan ditunjukkan oleh peningkatan skor post-test dibandingkan dengan skor pre-test. Dengan demikian, kegiatan ini terbukti efektif dalam meningkatkan pengetahuan dan keterampilan kader desa di bidang teknologi informasi. Adanya kegiatan ini juga mendukung tujuan pembangunan berkelanjutan (SDGs) pada indikator ke-4 dan ke-10 yaitu pendidikan bermutu dan berkurangnya kesenjangan. Oleh karena itu diharapkan setelah mengikuti kegiatan ini para kader dapat mengolah atau menganalisis data kependudukan lebih cepat dan akurat dengan visualisasi yang tepat untuk membantu mereka mengambil keputusan.
Pelatihan Analisis Data Bagi Kader Desa dan Guru Sekolah Dasar di Jombang Ratih Ardiati Ningrum; Chandrawati Putri Wulandari; Mohammad Ghani; Dwi Rantini; Fikri Arif Abdillah; Adam Maurizio Winata
Darmabakti : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 4 No 1 (2023): Darmabakti : Junal Pengabdian dan Pemberdayaan Masyarakat
Publisher : Lembaga Peneliian dan Pengabdian Masyarakat (LPPM) Universitas Islam Madura (UIM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/darmabakti.2023.4.1.81-88

Abstract

Peran penting pengolahan data semakin dirasa perlu untuk memberikan gambaran dan informasi penting terhadap suatu kumpulan data. Pengolahan data yang tepat dapat dijadikan acuan untuk pengambilan suatu kebijakan. Kemajuan teknologi yang sangat cepat, mendorong hampir semua aspek kehidupan untuk dapat memanfaatkan teknologi informasi secara maksimal. Pemanfaatan pada data kependudukan dapat membantu melihat kondisi sosiodemografi desa. Begitu pula untuk data sekolah, teknologi informasi dapat dimanfaatkan untuk membantu proses belajar mengajar. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan keterampilan pada kader desa dan guru sekolah dasar dalam memanfaatkan Google Data Studio dan Microsoft Excel untuk mendukung analisis data berkaitan dengan bidang pekerjaan masing-masing. Kegiatan ini juga mendukung capaian SDGs pada indikator ke-4 dan ke-10 yaitu pendidikan bermutu dan berkurangnya kesenjangan. Peningkatan keterampilan peserta ditunjukkan dengan kenaikan nilai post-test dibandingkan dengan nilai pre-test. Sehingga, kegiatan ini terbukti efektif meningkatkan pengetahuan dan keterampilan teknologi informasi para kader desa dan guru sekolah dasar.
Optimizing Spare Parts Inventory Management of Truck Dealer Services using Forecasting Methods and Continuous Review System Approach Rahmania, Rizky Astari; Indriani, Novera; Wulandari, Chandrawati Putri
Journal of Advanced Technology and Multidiscipline Vol. 3 No. 2 (2024): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v3i2.66530

Abstract

A truck dealership company, specializing in maintenance, repair, and spare parts sales, faces stockout challenges that hinder its ability to meet demand for moving code 1 spare parts. The absence of effective forecasting methods and safety stock policies exacerbates these issues. This study aims to optimize inventory management by identifying suitable forecasting methods and implementing the Continuous Review System (CRS) to establish safety stock and reorder points as the parameter for procurement planning. The results indicate that the Double Exponential Smoothing (DES) method effectively predicts demand, while the Monte Carlo simulation method performs better for spare part 493051110L. The CRS approach improves the fill rate and reduces stockout risks, ensuring better inventory management for the company. These findings provide a framework for the company to enhance its spare parts inventory strategy, contributing to improved service reliability and operational efficiency.
Co-Authors Adam Maurizio Winata Affiani Machmudah Aisyah Dewi Muthi’ah Aldhama, Shofa Aulia Aryo Pinandito Dwi Rantini Fikri Arif Abdillah Ghaluh Indah Permata Sari Gilang Fadly Hassani Gunawan Setia Prihandana Hanifah Nurroidah Indriani, Novera Miftachul Jannah Mohammad Ghani Mohammad Iqbal Mohammad Sandiasri Suprapto Prasasti Ikrar Luhur Priskila Yohana Rahmania, Rizky Astari Ratih Ardiati Ningrum Rike Surya Shafarani Tozati Intan Ramadhani Valencia Tesalonika Wawan Yunanto