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All Journal Jurnal Sains dan Seni ITS Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) BAREKENG: Jurnal Ilmu Matematika dan Terapan Variance : Journal of Statistics and Its Applications Jurnal Abdi Masyarakat Indonesia Jurnal Pemberdayaan Masyarakat Indonesia (JPMI) DEDIKASI : Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Mathematics and Applications Journal of Empowerment Indonesia Indonesian Actuarial Journal Energy: Jurnal Ilmiah Ilmu-ilmu Teknik
Mey Lista Tauryawati
Business Mathematics Department, School Of Applied STEM, Universitas Prasetiya Mulya
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Perbandingan Metode Fuzzy Time Series Cheng dan Metode Box-Jenkins untuk Memprediksi IHSG Mey Lista Tauryawati; M Isa Irawan
Jurnal Sains dan Seni ITS Vol 3, No 2 (2014)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (527.887 KB) | DOI: 10.12962/j23373520.v3i2.7985

Abstract

Proses peramalan sangat penting pada data time series karena diperlukan dalam proses pengambilan keputusan. Pada bidang finansial peramalan dapat digunakan untuk memantau pergerakan Indeks Harga Saham Gabungan (IHSG) yang akan datang. Perkembangan metode peramalan data time series yang cukup pesat mengakibatkan terdapat banyak pilihan metode yang dapat digunakan untuk meramalkan data sehingga perlu membandingkan metode yang satu dengan metode lainnya untuk mendapatkan hasil ramalan dengan akurasi yang tinggi. Pada tugas akhir ini dilakukan perbandingan peramalan untuk memperoleh metode yang terbaik diantara metode Fuzzy Time Series Cheng dan metode Box-Jenkins dalam memprediksi IHSG dengan akurasi yang tinggi berdasarkan MAE, MSE dan MAPE. Diantara kedua metode peramalan diperoleh metode yang terbaik adalah Fuzzy Time Series Cheng.
Pemberdayaan UMKM Mili Milk: Strategi Pemasaran dan Target Pasar yang Tepat untuk Keberhasilan Bisnis Mey Lista Tauryawati; Ilham Ramadhan Nur Ahmad; William Stevanno; Jessica Cheri T Palloan; Kyla Kanyaka Purbosatrio; Phillip Fabian; Shabrina Amira; Glorya Ichaisa G R; Glorify Megumi T W
Jurnal Abdi Masyarakat Indonesia Vol 3 No 5 (2023): JAMSI - September 2023
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.876

Abstract

Pemasaran produk, atau yang sering disebut sebagai Marketing, merupakan tantangan utama yang dihadapi oleh Usaha Mikro Kecil Menengah (UMKM) bernama Mili Milk. Hal ini disebabkan oleh penjualan UMKM yang lebih banyak berfokus pada bisnis ke bisnis, dengan sedikit penjualan langsung kepada konsumen. Oleh karena itu, tim Community Development Prasetiya Mulya memiliki tujuan untuk mengembangkan Branding dan bisnis ini melalui pengelolaan media sosial, iklan daring, serta melakukan survei di lingkungan Mahasiswa Prasetiya Mulya dan sekitarnya. Hasil survei menunjukkan bahwa rasa susu Mili Milk mendapat respon positif dari masyarakat sekitar dan mahasiswa di Prasetiya Mulya. Selain itu, aspek terbesar yang perlu ditingkatkan berdasarkan tanggapan dari survei adalah desain kemasan produk. Selama proses survei, tim berhasil meningkatkan interaksi melalui akun media sosial UMKM. Kesimpulannya, melalui kegiatan ini, tim berhasil meningkatkan interaksi di media sosial UMKM dan memberikan masukan melalui survei untuk meningkatkan citra produk di masyarakat.
Comparison of Random Forest, XGBoost, and LightGBM Methods in Estimating Airbnb Accommodation Rental Prices Based on Customers in New York City Tauryawati, meylista
Indonesian Journal of Mathematics and Applications Vol. 1 No. 2 (2023): Indonesian Journal of Mathematics and Applications (IJMA)
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.ijma.2023.001.02.5

Abstract

The research data was taken from a dataset provided by Inside Airbnb, and the analysis was conducted using machine learning techniques with Random Forest, XGBoost, and LightGBM algorithms. The research stages include data understanding, data preprocessing, data analysis, modeling, model evaluation, and rental price estimation. It is expected that the results of this study can help customers estimate the rental price of Airbnb rooms.
Peningkatan Efektivitas Pengelolaan Keuangan dan Strategi Pemasaran untuk Mengoptimalkan Penjualan Gandawijaya, Carissa; Leffiana, Rachelle Viensisca; Pandita, Dominicus Hanschen; Arleta, Chelsea; Dior, Daido Van; Keane, Roy; Deven, Deven; Tauryawati, Mey Lista
Journal Pemberdayaan Masyarakat Indonesia Vol 7 No 1 (2025): Jurnal Pemberdayaan Masyarakat Indonesia (JPMI)
Publisher : Pusat Pengabdian kepada Masyarakat (PPKM) Universitas Prasetiya Mulya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21632/jpmi.7.1.41-54

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in Indonesia's economy, particularly in terms of employment generation and national economic resilience. However, many MSMEs face challenges in financial management and marketing, especially in the era of digitalization. This research examines the implementation of the Community Development Program KUM-017 in Sangkanerang Village, Kuningan, West Java, focusing on empowering the Wedang Jahe Binangkit MSMEs. The program aims to enhance financial performance, operational efficiency, and marketing strategies through educational approaches and the implementation of Standard Operating Procedures (SOPs). Methods include field studies, data analysis, and direct mentoring. Results show significant improvements in financial record-keeping, SOP development, and digital marketing strategies, despite challenges in adapting to change and human resources. The study concludes by emphasizing the importance of effective financial management and marketing as key drivers for enhancing competitiveness and growth of MSMEs. Programs like this contribute positively and can be widely applied to support MSME growth in Indonesia, alongside efforts to strengthen the local economy and improve community welfare.
Exploring Women Empowerment: Dried-grass Weavers in South Kalimantan Sari, Faizah; Yudianto, B. Realino; Tauryawati, Mey Lista; Sampe, Maria Z.
Dedikasi : Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2024): Dedikasi : Jurnal Pengabdian Kepada Masyarakat
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah III DKI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53276/dedikasi.v3i2.194

Abstract

The paper underscores challenges and opportunities in the community of female dried-grass basket weavers in Purun Village, Banjarbaru, South Kalimantan, Indonesia. A training workshop based on how to improve the branding effort using online shops was conducted through a community classroom-type presentation with a simple step-by-step procedure, a practice for taking a product photograph from a smartphone, and a demonstration of setting up an online shop. Fourteen female weavers of Purun Village, Banjarbaru, South Kalimantan, Indonesia participated in the workshop. Results show a set of characteristics of a female basket weaver that uncovers both challenges and opportunities for improvement, not only for the individual woman but also the community and product sustainability of dried-grass basket weaving. Implications for continuous interaction and future research were discussed, including (1) the importance of understanding a variety of women’s roles in private and public spheres within the community context that could complement each other, and (2) the inevitability of introducing technology to the community to help furthering the participant’s skills and of small business community.
Comparison of Random Forest, XGBoost, and LightGBM Methods in Estimating Airbnb Accommodation Rental Prices Based on Customers in New York City Tauryawati, meylista
Indonesian Journal of Mathematics and Applications Vol. 1 No. 2 (2023): Indonesian Journal of Mathematics and Applications
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.ijma.2023.001.02.5

Abstract

The research data was taken from a dataset provided by Inside Airbnb, and the analysis was conducted using machine learning techniques with Random Forest, XGBoost, and LightGBM algorithms. The research stages include data understanding, data preprocessing, data analysis, modeling, model evaluation, and rental price estimation. It is expected that the results of this study can help customers estimate the rental price of Airbnb rooms.
PREDIKSI NILAI KURS MATA UANG DOLLAR AMERIKA (USD) DAN YUAN CHINA (CNY) DENGAN RUPIAH (IDR) MENGGUNAKAN METODE ARIMA Teja, Satya Dhira Alfa; Derick, Luigi; Tauryawati, Mey Lista; Zainuddin, Ahmad Fuad
VARIANCE: Journal of Statistics and Its Applications Vol 6 No 1 (2024): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol6iss1page99-112

Abstract

Bonus demografi yang sedang terjadi di Indonesia tidak sebanding dengan lapangan pekerjaan yang tersedia. Hal ini menyebabkan banyak dari mereka untuk mencari sumber pendapatan dari berbagai tempat, salah satunya dengan berinvestasi atau trading. Trading forex juga merupakan sumber pendapatan yang potensial jika dilakukan dengan benar. Analisa dengan menggunakan metode yang benar dapat membantu untuk sukses dalam dunia trading forex. Dalam dunia forex, mata uang Dollar Amerika (USD) dan Yuan China (CNY) merupakan mata uang yang sering dipilih karena paling berpotensi menghasilkan keuntungan. Penelitian ini bertujuan untuk melakukan prediksi harga kurs Dollar Amerika (USD) dan Yuan China (CNY) terhadap Rupiah (IDR) menggunakan metode Autoregressive Integrated Moving Average (ARIMA). Data kurs mata uang USD dan CNY akan dibagi menjadi data train dan test untuk memprediksi secara long term (10 hari), dan short term (5 hari). Dari hasil analisa tersebut, diperoleh bahwa model ARIMA (2,0,2) adalah model terbaik untuk memprediksi kurs USD terhadap IDR, sedangkan model ARIMA (3,0,2) adalah model terbaik untuk prediksi kurs CNY terhadap IDR. Model terbaik diperoleh berdasarkan nilai AIC terendah dan signifikansi parameter. Setelah mendapatkan model terbaik untuk nilai tukar kurs mata uang USD dan CNY terhadap IDR, selanjutnya dilakukan prediksi untuk jangka waktu short term dan long term. Hasil menunjukkan bahwa untuk meramalkan secara short term, model ARIMA yang telah diperoleh, cocok untuk digunakan. Namun, untuk meramalkan secara long term, model ARIMA tersebut masih kurang akurat untuk digunakan, karena keterbatasan data train.
Exploring Digital Knowledge in a Rural East Java Community Sari, Faizah; Tauryawati, Mey Lista; Sampe, Maria Zefanya
Jurnal Pengabdian kepada Masyarakat (Indonesian Journal of Community Engagement) Vol 11, No 4 (2025): December
Publisher : Direktorat Pengabdian kepada Masyarakat Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jpkm.87456

Abstract

This paper presents an initiative aimed at introducing digital skills to a rural community in East Java, Indonesia. A training workshop on the use of electronic surveys was conducted through a classroom-style presentation. The session included a simple step-by-step tutorial, hands-on practice using a smartphone-based electronic survey form, and a demonstration of how the survey results could be visualized. Thirty adult participants, both men and women, from the village of Karangpakis, Kabuh Regency, East Java, took part in the workshop. The findings indicate that the community service activity highlighted both challenges and opportunities for digital empowerment, which are analyzed in three key areas: (1) the delivery of an accessible workshop that enabled participants to practice using an online survey application; (2) the significance of introducing technology to enhance communication regarding village welfare; and (3) the advancement of participants’ digital literacy through exposure to the practical benefits of the survey results. The paper concludes by discussing implications for sustainable engagement and directions for future research.
Peningkatan Penjualan dan Efisiensi Produksi Keripik Kulit Ayam dalam Pendampingan Usaha Mikro Kecil dan Menengah Altion Markoli; Elvira Wongso; Erica; Hansen Juni Lieus; Mathilda; Nicholas Gilbert Sugianto; Nickken Khinbie Setiawan; Stefanny Putri; Mey Lista Tauryawati
Journal of Empowerment Indonesia Vol. 2 No. 1: Juni 2026
Publisher : PT. Sativa Publishing Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64118/jei.v2i1.141

Abstract

Usaha Mikro Kecil dan Menengah merupakan salah satu roda perekonomian Indonesia dalam beberapa tahun ini. Data Bank Indonesia menunjukkan UMKM berkontribusi sebesar 64% terhadap produk domestik bruto Indonesia. Kegiatan pengabdian kepada masyarakat Universitas Prasetiya Mulya 2021 merupakan salah satu cara untuk membantu mengembangkan usaha mikro. Artikel ini bertujuan untuk mengetahui peningkatan penjualan dan efisiensi produksi pada usaha keripik kulit ayam Tjap Bu Yeti dalam kegiatan pengabdian kepada masyarakat. Data sampel yang digunakan berasal dari mitra penulis sebagai pelaku usaha mikro keripik kulit ayam Tjap Bu Yeti di Kecamatan Cipanas.  Rumusan masalah dan metode penelitian dalam artikel ini dibagi dalam aspek fundamental bisnis yaitu aspek produksi, aspek pemasaran, aspek keuangan, dan aspek sumber daya manusia. Setelah melewati kurang lebih enam bulan proses pendampingan oleh tim penulis, terdapat beberapa perkembangan pada bisnis mitra. Hasilnya, yang pertama, terjadi peningkatan efisiensi pada produksi keripik kulit ayam dengan menerapkan konsep tata letak produk dan keseimbangan lini. Kedua, memperjelas identitas merek dan target pasar produk. Ketiga, terjadi peningkatan penjualan sebesar Rp441.000,00 dan peningkatan margin laba bersih sebesar 2.53%. Terakhir, tim penulis berhasil merumuskan identifikasi pekerjaan.
Optimization of pH Control in Acetic Acid (CH₃COOH)–Sodium Hydroxide (NaOH) Neutralization Process Using a Fuzzy Logic Controller Arfittariah; Turahyo; Abadi Nugroho; Mey Lista Tauryawati
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 16 No. 2 (2026): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (July-November 2026 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v16i2.p374-387

Abstract

Conventional control systems, such as Proportional-Integral-Derivative (PID) controllers, have been widely applied in industrial process control due to their simple structure. However, these systems exhibit significant limitations when dealing with highly nonlinear processes and require retuning whenever plant conditions change. The pH control process represents one of the nonlinear systems in which small variations in hydrogen ion (H⁺) concentration can cause substantial changes in pH values. This study develops an acetic acid (CH₃COOH) and sodium hydroxide (NaOH) titration model as a case study and designs a pH control system based on a Fuzzy Logic Controller (FLC). The proposed FLC system employs two input variables, namely error (with a membership function range of −1 to 1) and error change (Δerror) (with a membership function range of −0.5 to 0.5), along with one output variable representing valve position (with a membership function range of 4–20). Simulations were conducted at three pH set points (4, 7, and 10) to evaluate the dynamic response characteristics of the proposed control system. The simulation results demonstrate that the FLC is capable of achieving a steady-state error below 0.5% for all evaluated set points. Furthermore, the overall simulation error remains below 5%, indicating that the developed titration model provides adequate accuracy. This study confirms that FLC is an effective approach for handling nonlinear characteristics in pH control processes.
Co-Authors Abadi Nugroho Adriano Fadlan Juwono Altion Markoli Arfittariah Arleta, Chelsea Bernardinus Realino Yudianto Camelia Miftahur Rizki Kiem Hwa Derick, Luigi Deven, Deven Dior, Daido Van Elvira Wongso Erica Faizah Sari Gandawijaya, Carissa Glorify Megumi T W Glorya Ichaisa G R Hansen Juni Lieus Iftha Nikmatul Khasanah Ilham Ramadhan Nur Ahmad Jessica Cheri T Palloan Keane, Roy Kgs. M. Rifat Alfarisi Kyla Kanyaka Purbosatrio Leffiana, Rachelle Viensisca Maria Zefanya Sampe Mathilda Mohammad Isa Irawan Nicholas Gilbert Sugianto Nickken Khinbie Setiawan Pandita, Dominicus Hanschen Phillip Fabian Rosa Maeni Sampe, Maria Z. Shabrina Amira Stefanny Putri Teja, Satya Dhira Alfa Tiur Masayu Rahmadani Turahyo William Stevanno Winner Yeo Yohana Joevanca Kurniawan Zainuddin, Ahmad Fuad