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All Journal JTIK (Jurnal Teknik Informatika Kaputama) Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika
Prasanti Mia Purnama
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Computer Science & IT Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Nursing Public Health Social Sciences

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Perbandingan Metode Single Moving Average dan Metode Single Exponential Smoothing dalam Peramalan Indeks Pembangunan Manusia di Kabupaten Sumenep Amaliyatul Hasanah; Prasanti Mia Purnama; Istianah Alifia
Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Vol. 2 No. 1 (2024): Februari : Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/arjuna.v2i1.661

Abstract

The Human Development Index (HDI) can be defined as a comparative measurement of life expectancy, education, and living standards. HDI can fluctuate, among other things, because it is influenced by external factors, such as the COVID-19 pandemic. One of the districts that was affected in such a way that caused the HDI to decline was Sumenep district. In relation to HDI fluctuations, the single moving average and single exponential smoothing forecasting methods were implemented in this research to predict the HDI in Sumenep district in 2024. Next, the results obtained from the two methods were compared. In HDI forecasting using the single moving average method, the forecast value was 68.81 with an MSE value of 1.87, MAPE 1.379%, MAD 0.886 and MSD 0.824. Meanwhile, forecasting using the single exponential smoothing method produces a forecasting value of 68.93 with α=1.895) and a MAPE value of 0.739%, MAD 0.464 and MSD 0.272.
Upaya Peningkatan Literasi Numerasi Siswa-Siswi MI dan MTs Melalui Penanaman Tanaman Obat Keluarga di Desa Cempaka Pasongsongan Sumenep Siti Khotijah; Luluk Sarifah; Prasanti Mia Purnama; Wildayatus Shofiyah
PROSIDING SEMINAR NASIONAL PENGABDIAN KEPADA MASYARAKAT Vol. 4 No. 2 (2024): Prosiding Seminar Nasional Pengabdian Kepada Masyarakat : Memaksimalkan Potensi
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/snpm.v4i2.1412

Abstract

Literasi numerasi merupakan kemampuan menerapkan konsep angka dan keterampilan menghitung dalam kehidupan sehari-hari. Kondisi literasi numerasi siswa di Madrasah Ibtidaiyah (MI) dan Madrasah Tsanawiyah (MTs) Desa Cempaka, Kecamatan Pasongsongan, Kabupaten Sumenep, masih perlu ditingkatkan. Pengabdian ini bertujuan meningkatkan literasi numerasi siswa melalui kegiatan penanaman Tanaman Obat Keluarga (TOGA), yang melibatkan siswa-siswi MI dan MTs serta ibu-ibu PKK Desa Cempaka. Kegiatan dilaksanakan pada 08 September 2024, dengan metode seminar, praktik penanaman, pengamatan pertumbuhan tanaman, dan diskusi kelompok. Hasil dari kegiatan ini menunjukkan peningkatan signifikan pada kemampuan numerasi siswa, terutama dalam pengukuran dan penghitungan sederhana yang diterapkan selama penanaman. Selain itu, kemampuan literasi juga meningkat melalui pencatatan hasil pengamatan dan diskusi kelompok. Keterlibatan ibu-ibu PKK menambah dimensi pemberdayaan komunitas, memperkuat kolaborasi antar generasi. Pendekatan pembelajaran berbasis praktik yang menggabungkan literasi, numerasi, dan kegiatan penanaman TOGA berhasil memberikan dampak positif pada peningkatan keterampilan siswa dan memperkuat keterlibatan komunitas lokal.
PENDEKATAN ALGORITMA TREE-BASED DAN SHAP UNTUK ANALISIS FAKTOR CHURN PELANGGAN E-COMMERCE Fauziah, Ana; Prasanti Mia Purnama
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 10 No. 2 (2026): Artificial Intelligence (AI)
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v10i2.1307

Abstract

The rapid growth of the e-commerce industry has intensified competition and increased the risk of customer churn, defined as the discontinuation of service usage. This study aims to develop an accurate churn prediction model using four tree-based classifiers—Random Forest, XGBoost, LightGBM, and CatBoost—and to evaluate feature contributions using SHAP (Shapley Additive Explanations). The study employs the E-commerce Customer Churn dataset from Kaggle, consisting of 5,630 observations and 20 behavioral features. All models demonstrate strong performance, achieving accuracy above 95%. XGBoost outperforms the other models, with an accuracy of 97.42% and an F1-score of 0.918, indicating a good balance between precision and recall. SHAP analysis identifies Tenure as the most influential feature, followed by Complain, NumberOfAddress, CashbackAmount, and MaritalStatus_Married. Lower tenure increases churn likelihood, while higher complaint levels significantly raise churn risk. Feature effects vary across individuals due to interactions among variables. These findings highlight the importance of interpretability in supporting accurate and data-driven customer retention strategies in e-commerce.
Co-Authors Amaliyatul Hasanah Ana Fauziah Istianah Alifia Luluk Sarifah Siti Khotijah Wildayatus Shofiyah