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All Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Ultima Management : Jurnal Ilmu Manajemen ARIKA Mattawang: Jurnal Pengabdian Masyarakat JENIUS: Jurnal Terapan Teknik Industri Jurnal Pengabdian Masyarakat (ABDIRA) Madiun Spoor : Jurnal Pengabdian Masyarakat Jurnal Applied Research in Management and Business Prosiding Seminar Nasional Teknologi Industri Berkelanjutan Jurnal Ilmiah Pengabdian dan Inovasi Jurnal Masyarakat Madani Indonesia Priviet Social Sciences Journal Social Engagement: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Industri, Bisnis Digital, dan Teknik Logistik: Jurnal Trinistik Jurnal Manajemen Bisnis Era Digital Indonesia Bergerak: Jurnal Hasil Kegiatan Pengabdian Masyarakat Jurnal Riset dan Pengabdian Interdisipliner
Pangki Suseno
Program Studi Teknik Industri, Universitas Bhinneka PGRI, Tulungagung, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Workshop Pengembangan Kompetensi Mahasiswa Pada Implementasi Teknik Peramalan Kuantitatif Berbasis Software POM QM For Windows Junianto, Dwi; Suseno, Pangki; Mahariani, Yeni Roha; Wibowo, Bayu Sandi
Social Engagement: Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 2 (2024): Maret 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/se.v2i2.9116

Abstract

Business competitiveness today is influenced by factors both internally and externally. For this reason, an effective and efficient operation and production strategy is required. These activities require demand estimation to be one of the keys in production planning and control. This means that forecasting will drive business decisions on the importance of quickly and accurately capturing information about demand. The output of the forecasting value can be the basis of production, capacity, and scheduling systems, financial planning, marketing and labor. Thus, the implementation of a forecasting method that is suitable for the data pattern and the level of accuracy or accuracy becomes an important instrument.
PERBANDINGAN TINGKAT AKURASI FORECASTING SAMBEL PECEL DENGAN METODE DOUBLE MOVING AVERAGE DAN DOUBLE EXPONENTIAL SMOOTHING Suwignyo, Fahrul Afiyas; Suseno, Pangki
ULTIMA Management Vol 17 No 1 (2025): Ultima Management : Jurnal Ilmu Manajemen
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/manajemen.v17i1.4183

Abstract

Abstract- Cihayu pecel sauce is an instant processed chili sauce made from the main ingredients, namely cayenne pepper, peanuts, garlic, brown sugar, salt, and lime leaves. These ingredients are ground and mixed into a paste which is served as a complementary sauce for vegetable pecel dishes. The purpose of this study was to forecast the demand for Cihayu pecel sauce for 2025, while comparing 2 methods to obtain the best sales forecast results for Cihayu pecel sauce. The methods used in forecasting the demand for Cihayu pecel sauce are the Double Moving Average and Double Exponential Smoothing methods using time series data. Based on the tests that have been carried out, it was found that the Double Moving Average (DMA) method with 4-period parameters is the method that is used effectively with a MAD of 2.91, an MSE of 16.37 and a MAPE of 0.84%. This means that the DMA model with 4 parameters is the best model for forecasting the amount of sales at Cihayu pecel sauce MSMEs in Mirigambar Village. Keywords: Forecasting; Double Moving Average; Double Exponential Smoothing; Time Series Analysis; MSME
Pengembangan Kompetensi Mahasiswa dalam Berwirausaha melalui Workshop Pemasaran Digital Berbasis AI Suseno, Pangki
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Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jrpi.v2i3.33814

Abstract

The purpose of this community service activity is to improve understanding and enhance students' AI-based marketing skills. On March 22, 2025, the activity was conducted through lectures and practical sessions, along with an evaluation of students' understanding before and after the workshop. Topics covered in the workshop included understanding AI for digital marketing, market research and buyer persona analysis using AI, creating text and video content with AI, campaign optimization and data analysis with AI, and practical digital marketing with AI. The results of this PKM activity indicate that students understood the installation process; 57.9% of participants understood how to use the POM-QM software. Additionally, 70% of students understood AI for digital marketing. The evaluation results also revealed that the training helped students address product marketing issues effectively and efficiently.
Pengembangan Kompetensi Mahasiswa untuk Analisis Data Statistik dengan Aplikasi Rstudio Suseno, Pangki
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 5, No 4 (2025): Abdira, Oktober
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v5i4.944

Abstract

Digital technology has brought significant changes to education, especially in statistics and data analysis. Now, data processing skills are essential for students across all disciplines. R Studio, a popular open-source software for statistical analysis, can assist with this process. This community service activity consists of a workshop on using R Studio for industrial engineering and computer science students. The workshop aims to enhance understanding of R Studio's basic concepts and practical data analysis skills. Implementation methods include lectures, hands-on practice, and pre- and post-training evaluations. The material covers an introduction to R and R Studio; installation; basic R syntax; data import and manipulation; descriptive statistical analysis; and visualization using ggplot. Results showed that all participants understood the installation process and that 70% could use R Studio for statistical analysis and develop solutions. The final evaluation revealed that the training helped students solve data problems quickly and accurately.
Pendampingan Kegiatan Implementasi Seni Mengajar Berbasis Peer Teaching di TK Al Munawar Tulungagung Dita Hendriani; Dwi Junianto; Ella Rolita Arifianti; Pangki Suseno; Yeni Roha Mahariani
Indonesia Bergerak : Jurnal Hasil Kegiatan Pengabdian Masyarakat Vol. 3 No. 4 (2025): Oktober: Indonesia Bergerak : Jurnal Hasil Kegiatan Pengabdian Masyarakat
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/inber.v3i4.1107

Abstract

The peer teaching method is a strategic learning tool for creating a conducive learning environment, allowing students to play an active role and fostering connectivity between students. This method can be used as an alternative in classroom learning activities where students with the ability can act as tutors. This activity was carried out at AL Munawar Kindergarten in Tulungagung, with stages ranging from planning, training implementation, mentoring, and evaluation. The results of the community service activities were an increase in student abilities, learning outcomes, active and critical thinking skills, and communication skills. To achieve these results, strategic efforts are needed, starting from curriculum development, improving teacher competence, and providing learning facilities. Although it still has a number of weaknesses, including the difficulty of finding the right tutor who is confident and capable of mastering the material, the peer teaching method can be used as a reference for effective learning media in nurturing and developing students.
Analisis Studi Kelayakan Investasi Home Industry pada Supplier Cotton Buds Adi Wijaya, Putra Agung; Suseno, Pangki
Jurnal TRINISTIK: Jurnal Teknik Industri, Bisnis Digital, dan Teknik Logistik Vol 4 No 2 (2025): September 2025
Publisher : nter of Execellence (COE) ICT Infrastructure, Smart Manufacture and Digital Supply Chain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/trinistik.v4i2.1992

Abstract

Penelitian ini bertujuan untuk menganalisis kelayakan investasi pada usaha home industry cotton buds di Desa Badal, Kecamatan Ngadiluwih, Kabupaten Kediri. UD Ifa Jaya Lancar sebagai satu-satunya produsen lokal cotton buds menjadi objek studi. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan data sekunder berupa laporan keuangan periode 2020–2024. Lima indikator finansial digunakan untuk mengevaluasi kelayakan investasi, yaitu Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period (PP), Profitability Index (PI), dan Average Rate of Return (ARR). Hasil analisis menunjukkan bahwa usaha ini layak secara finansial, ditunjukkan dengan NPV sebesar Rp109.412.970,20, IRR sebesar 49,09%, PP selama 2,33 tahun, PI sebesar 1,671, dan ARR sebesar 78,56%. Nilai-nilai tersebut berada di atas batas minimum kelayakan, yang menandakan bahwa investasi pada home industry ini tidak hanya menguntungkan tetapi juga memberikan dampak ekonomi positif bagi masyarakat sekitar. Penelitian ini diharapkan menjadi acuan bagi pengembangan usaha mikro di wilayah pedesaan.
Training on Statistical Data Processing Using SPSS Application: Pelatihan Pengolahan Data Statistik Dengan Menggunakan Aplikasi SPSS Mahariani, Yeni Roha; Suseno, Pangki; Febriansyah, Muhammad Ikhwan
Mattawang: Jurnal Pengabdian Masyarakat Vol. 4 No. 4 (2023)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.mattawang2252

Abstract

The Industry 4.0 era requires resources equipped with critical thinking, innovative abilities, and the capacity to address complex problems using the latest technology. Education emerges as a crucial factor in meeting Human Resources (HR) needs across various industrial sectors. Therefore, this community service activity focuses on students to enhance insights and competencies that support lectures and research projects. The training places emphasis on utilizing the Statistical Package for the Social Sciences (SPSS) as a statistical testing tool, enabling students to grasp accurate data processing. Activities encompass the introduction of basic statistical concepts, practice in data processing, statistical testing, and both descriptive and comparative analysis. The training offers additional experience, skills, and competencies, fostering participants' interaction with SPSS technology as a statistical analysis tool. Evaluation of the activities indicates a significant improvement in participants' ability to process statistical data using SPSS. AbstrakEra Industri 4.0 menuntut sumber daya yang memiliki kemampuan berpikir kritis, inovatif, dan mampu menyelesaikan masalah kompleks dengan memanfaatkan teknologi terkini. Pendidikan menjadi kunci penting dalam memenuhi kebutuhan Sumber Daya Manusia (SDM) di berbagai sektor industri. Oleh karena itu, kegiatan pengabdian ini difokuskan pada mahasiswa untuk meningkatkan wawasan dan kompetensi yang mendukung perkuliahan serta proyek penelitian. Pelatihan menitikberatkan pada penggunaan Statistical Package for the Social Sciences (SPSS) sebagai alat uji statistik, memungkinkan mahasiswa memahami pengolahan data secara tepat. Kegiatan ini mencakup pengenalan konsep dasar statistika, praktik pengolahan data, uji statistik, analisis deskriptif, asosiatif, dan komparatif. Pelatihan memberikan pengalaman, keterampilan, dan kompetensi tambahan, mendukung interaksi peserta dengan teknologi SPSS sebagai alat analisis statistik. Evaluasi kegiatan menunjukkan peningkatan signifikan dalam kemampuan peserta dalam mengolah data statistik dengan SPSS.
Analisis Pola Transaksi dan Perilaku Pembelian Pelanggan E-Commerce Berdasarkan Karakteristik Demografis dan Waktu Transaksi Yeni Roha Mahariani; Pangki Suseno; Dwi Junianto; Nindya N. A. Brillianio
Jurnal Manajemen Bisnis Era Digital Vol. 3 No. 1 (2026): Februari : Jurnal Manajemen Bisnis Era Digital
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jumabedi.v3i1.1279

Abstract

The rapid growth of e-commerce has intensified the need to understand transaction patterns and customer purchasing behavior as a foundation for strategic decision-making. This study aims to analyze e-commerce transaction patterns and customer purchasing behavior based on demographic characteristics and transaction timing. By utilizing e-commerce transaction data, this research seeks to provide a more comprehensive understanding of customers’ purchasing tendencies and the factors influencing their behavior. This study employs Exploratory Data Analysis (EDA) as the primary method to descriptively explore data characteristics through various statistical visualizations, including histograms, bar charts, line graphs, and boxplots. The analysis conducted to identify transaction trends, the distribution of purchase values, and behavioral differences across demographic groups and specific time periods. The results indicate that e-commerce transaction patterns tend to increase during certain periods, particularly in the latter part of the observation timeframe, suggesting the influence of seasonal factors and promotional strategies. The distribution of transaction values is asymmetric, with most transactions occurring in the low to medium value range, while high-value transactions are conducted by a relatively small proportion of customers. Furthermore, variations in purchasing behavior are observed across demographic groups in terms of transaction frequency and value, despite relatively balanced transaction volumes. The findings confirm that e-commerce customer purchasing behavior is influenced by a combination of temporal factors and demographic characteristics. These results are expected to serve as a basis for e-commerce practitioners in developing more targeted marketing strategies and as a reference for future research in the field of e-commerce data analytics.
A comparative analysis of the accuracy of forecasting methods in predicting strategic food production in East Java Suseno, Pangki; Junianto, Dwi; Mahariani, Yeni Roha
Priviet Social Sciences Journal Vol. 6 No. 2 (2026): February 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v6i2.1285

Abstract

Food security is one of the main pillars of sustainable national development, especially in East Java, a region that contributes significantly to the national rice production. However, data from 2016 to 2024 show a downward trend in rice production. This contrasts with the relatively stable consumption demand and poses a risk to future food stability. This study aims to predict future food needs and determine the most accurate forecasting method by comparing the naive method, moving average, single exponential smoothing (SES), and double exponential smoothing (DES) methods. The research data includes annual rice production and consumption volumes in East Java over a nine-year period. We evaluated the forecasting accuracy using the mean absolute deviation (MAD), mean squared error (MSE), and mean absolute percentage error (MAPE). The results of the analysis show that the double exponential smoothing method (with α = 0.9 and β = 0.1) provides the best performance, with the lowest error rate (MAPE) of 1.020%. This value is much more accurate than those of the naive method (6.397%), moving average method (6.359%), and single exponential smoothing method (6.530%), which are less responsive to downward trends in the data. Therefore, the DES method is recommended as the most appropriate forecasting model to assist the government of East Java with strategic planning and food security policies.
Co-Authors Adi Wijaya, Putra Agung Andreas Andrie Djatmiko Bachrul Ulum Dita Hendriani Dwi Agustina Rahayu Dwi Junianto Dwi Junianto Dwi Junianto Ella Rolita Arifianti Erlangga, Brillian Rama Farid Sukmana, Farid Febriansyah, Muhammad Ikhwan Indung Sudarso Mohammad Hasib Nindya N. A. Brillianio Pamungkas, Bian Dwi Suwignyo, Fahrul Afiyas Wibowo, Bayu Sandi Yeni Roha Mahariani