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All Journal Jurnal Gaussian Jurnal Statistika Universitas Muhammadiyah Semarang Program Kreativitas Mahasiswa - Penelitian JPM17: Jurnal Pengabdian Masyarakat MUST: Journal of Mathematics Education, Science and Technology Jurnal Penamas Adi Buana Variance : Journal of Statistics and Its Applications Inferensi Jurnal Visi Pengabdian Kepada Masyarakat Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) JAPI: Jurnal Akses Pengabdian Indonesia VARIANSI: Journal of Statistics and Its Application on Teaching and Research Jurnal PADI (Pengabdian mAsyarakat Dosen Indonesia) SOSIO KONSEPSIA: JURNAL PENELITIAN DAN PENGEMBANGAN KESEJAHTERAAN SOSIAL MANGGALI Journal of Community Research and Engagement RAGAM: Journal of Statistics and Its Application Reliability: Journal of Industrial Statistics
Alfisyahrina Hapsery
Program Studi Statistika, Fakultas Sains Dan Teknologi, Universitas PGRI Adi Buana Surabaya
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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ANALISIS INFLASI DI INDONESIA: PEMODELAN ARIMA DAN IMPLIKASI KEBIJAKAN EKONOMI Artanti Indrasetianingsih; Alfisyahrina Hapsery; Rabiatul Adawiyah
RAGAM: Journal of Statistics & Its Application Vol 4, No 1 (2025): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v4i1.14570

Abstract

One of the important indicators on a country's economy is inflation. Inflation is an increase in the price of goods and services in general and continuously over a certain period of time. Various studies have been conducted to predict inflation, both using conventional methods and those using artificial intelligence. This research uses the ARIMA method specifically to help the government in monitoring fiscal and monetary policies so that they are more responsive to the threat of inflation, such as interest rate adjustments or basic commodity price policies. The main objective of this study is to obtain a model that can be used to predict inflation in Indonesia with a high degree of accuracy. The results of the descriptive analysis show that the highest inflation in Indonesia occurred during the monetary crisis, namely in February 1998, which was 12.76, while the highest average inflation occurred in 1998 at 4.818. ARIMA modeling for inflation results in an ARIMA([1,3,5,8,48],0,0) model with an outlier , the model satisfies the residual white noise assumption, but does not meet the normally distributed residual assumption. Based on the RMSE and MAPE values, the results show that the RMSE data out sample has a smaller RMSE value when compared to the in sample data, while the MAPE value is smaller in sample data when compared to the out sample data.
PENINGKATAN LITERASI DATA MELALUI PELATIHAN ANALISIS DATA DESKRIPTIF SEBAGAI PENDUKUNG PENGAMBILAN KEPUTUSAN BAGI SISWA SMK SEJAHTERA SURABAYA Rabiatul Adawiyah; Artanti Indrasetianingsih; Alfisyahrina Hapsery
Seminar Nasional Hasil Riset dan Pengabdian Vol. 8 (2026): Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) Ke 8 Tahun 2026
Publisher : LPPM Universitas PGRI Adi Buana

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Abstract

Perkembangan industri digital telah meningkatkan kebutuhan terhadap sumber daya manusia yang tidak hanya memiliki keterampilan vokasional, tetapi juga mampu memahami, mengolah, dan menginterpretasikan data sebagai dasar pengambilan keputusan. Kondisi tersebut mendorong pentingnya penguatan literasi data bagi siswa Sekolah Menengah Kejuruan (SMK). Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan pemahaman siswa SMK Sejahtera Surabaya mengenai konsep dasar analisis data deskriptif serta penerapannya dalam mendukung pengambilan keputusan. Metode pelaksanaan dilakukan melalui ceramah interaktif, diskusi, praktik pengolahan data menggunakan studi kasus sederhana, dan evaluasi menggunakan instrumen skala Likert. Materi yang diberikan meliputi konsep data, penyajian data, ukuran pemusatan data, visualisasi data, hingga interpretasi hasil analisis. Hasil kegiatan menunjukkan bahwa peserta mampu memahami konsep dasar statistika deskriptif, membaca visualisasi data, serta melakukan interpretasi sederhana berdasarkan data yang tersedia. Evaluasi kegiatan memperlihatkan seluruh indikator memperoleh kategori baik hingga sangat baik, dengan skor tertinggi pada indikator manfaat kegiatan sebesar 4,70. Temuan tersebut menunjukkan bahwa pelatihan mampu meningkatkan literasi data sekaligus memperkuat kemampuan berpikir kritis siswa dalam menyelesaikan permasalahan berbasis data. Kegiatan ini diharapkan menjadi model penguatan kompetensi literasi data bagi siswa SMK dalam menghadapi kebutuhan dunia kerja berbasis digital.
Analisis Ketahanan Hidup Pasien Berdasarkan Data Klinis dan Molekuler Menggunakan Regresi Cox PH Alfisyahrina Hapsery; Maria Yohana Vianey Wae; Benedikta Ngamul
Reliability: Journal of Industrial Statistics Vol. 1 No. 2 (2025): Reliability: Journal of Industrial Statistics
Publisher : Reliability: Journal of Industrial Statistics

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Abstract

Penelitian ini bertujuan untuk menganalisis faktor-faktor klinis danmolekuler yang memengaruhi ketahanan hidup pasien kanker otakmenggunakan model Regresi Cox Proportional Hazard. Data yangdigunakan merupakan data sekunder pasien glioma yang mencakupvariabel klinis seperti jenis tumor, tingkat keparahan, serta variabelmolekuler seperti kondisi gen IDH, 1p19q, dan MGMT. DenganBoxplot, Kaplan-Meier, uji Log-Rank, dan regresi Cox PH digunakanuntuk menilai pengaruh masing-masing variabel terhadap waktusurvival pasien. Hasil analisis menunjukkan bahwa jenis tumor,tingkat keparahan, kondisi gen IDH, 1p19q, dan MGMT berpengaruhsignifikan terhadap ketahanan hidup pasien, sedangkan jenis kelamin,terapi sinar, dan terapi obat tidak berpengaruh signifikan. Secaraumum, semakin tinggi derajat keganasan tumor, semakin besar risikokematian. Sebaliknya, mutasi genetik seperti IDH, 1p19q, dan MGMTmenunjukkan efek protektif terhadap progresivitas tumor
Website Optimization for Village Officials and Cadres in Grogol Village Tulangan District Sidoarjo Rabiatul Adawiyah; Artanti Indrasetianingsih; Alfisyahrina Hapsery; Maria Kristina Lusia Geong; Elvina Syahra
Journal of Community Research and Engagement Vol. 3 No. 1 (2026): MAY
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/jcore.v3i1.1480

Abstract

Background: Information technology-based village development is essential for enhancing public services and government transparency. However, the utilization of the Grogol Village website remained suboptimal due to the limited technical skills of village officials. Objective: To address this issue, a community service initiative was conducted to improve the competence of village officials and cadres in website management using OpenSID and WordPress. Method: The program was delivered through lectures, hands-on practice, and ongoing mentoring. Program effectiveness was evaluated using a post-test for participant comprehension and a five-point Likert scale questionnaire to assess overall satisfaction regarding materials, facilitators, facilities, and benefits. Results: The results demonstrated a significant increase in participant competence, with post-test scores ranging from 53.3% to 86.7%. The highest achievement was recorded in the OpenSID menu indicator (86.7%), whereas social media integration scored the lowest (53.3%). Overall participant satisfaction was categorized as good to very good, highlighted by a peak mean score of 4.6 out of 5 for the program's usefulness. Conclusion: further mentoring is strongly recommended particularly focusing on social media integration, website security, and digital content creation to ensure the village website is managed optimally and sustainably over the long term.
Co-Authors Abdullah Jabbar Daimuddin Achmad Chikham Nouriel Rosyadi Agustin, Risca Aida Meimela Al-Amin, Moch. Iqbal Nasurulloh Aliffia Rahma Anandyani Andriana Yoshinta, Andriana Aprilia, Yohanita Uniyantri Ardina Eka Nawang Sari Arief Ibrahim, Caraka Benedikta Ngamul Bunga , Natasha Caraka Arief Ibrahim Caraka Arief Ibrahim Choliq, Maulivia Idham DEA TRISHNANTI Dwi Cahya Julia Kartikasari Edy Sulistiyawan, Edy Ega Riski Suci Cahyani Ellya Susilowati Elpi Nainggolan Elvina Syahra Elvira Mustikawati Putri Hermanto Elvira Mustikawati Putri Hermanto Fajarulloh, Moh Subhan Faldianus Karno Faldianus Karno Fanny Ayu Octaviana, Fanny Ayu Fitriani, Fenny Gangga Anuraga Gili, Ireni Lusyanti Giyanti Linda Purnama, Giyanti Linda Hamidah, Wanda Nur Hani Brilianti Rochmanto Haryanto, Intan Amelia Heppy Reihana K. S Indrasetianingsih, Artanti Intan Amelia Haryanto Ireni Lusyanti G Izzadin Muhamad Nur Irfan Khusnul Khotimah Khusnul Khotimah Lubis, Reysha Rizki Amanda Lucky Junita Ayu Arifahanum Maria Hernita Elvine Pramesty Maria Kristina Lusia Geong Maria Yohana Vianey Wae Mochammad Iqbal Nasrulloh Al Amin Muhammad Alim Alhakam Muhammad Rafli Nofrian Risalah Novi Rahmawati Nuraini , Salsa Rifqah Obaja Hisop Wahyusantoso Mosipate pramesti, wara Prizka Rismawati Arum Rabiatul Adawiyah Ratu Bunga Prawesti Arie Salim Risca Agustin Sadewa, Arief Saputri Dyah Pratiwi Syeni Agustin Ningtias Tutut Januar Pertiwi, Tutut Januar Ulul Azmi Wara Pramesti Yasmin Findi Ariska Yohanita Uniyatri Aprilia Yohanita Uniyatri Aprilia