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Combined Model of Markov Switching and Asymmetry of Generalized Seasonal Autoregressive Moving Average Conditional Heteroscedasticity for Early Detection of Financial Crisis in Hong Kong Sugiyanto, Sugiyanto; Subanti, Sri; Slamet, Isnandar; Zukhronah, Etik; Susanto, Irwan; Sulandari, Winita; Aprilia, Nabila Churin
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol 10, No 2 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.v10i2.21943

Abstract

The financial crisis in Hong Kong occurred in 1997 and 2008. To prevent a crisis or reduce the impact of a crisis, action is needed through early detection of the crisis using export indicator. The combination of Markov Switching and Asymmetric Generalized Seasonal Autoregressive Moving Average Conditional Heteroscedasticity (MS-AGSARMACH) models explains the crisis well. The results show that the MSAGSARMACH(2,1,1) model can explain past and future crises well.
Forecasting of Indonesian Crude Prices using ARIMA and Hybrid TSR-ARIMA Zukhronah, Etik; Sulandari, Winita; Subanti, Sri; Slamet, Isnandar; Sugiyanto, Sugiyanto; Susanto, Irwan
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol 10, No 2 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.v10i2.21946

Abstract

Forecasting of Indonesian crude prices (ICP) is crucial for the government and policymakers. It helps them develop appropriate economic policies, budget allocations, and energy strategies. Forecasting methods that can be used are Time Series Regression (TSR) and Autoregressive Integrated Moving Average (ARIMA). This study aims to forecast ICP using ARIMA and hybrid TSR-ARIMA models. The data used in this study is the ICP per month, from January 2017 to November 2022. The data is divided into two groups, the data from January 2017 to December 2020 is used as training data, and the data from January 2021 to November 2022 is used as testing data. The MAPE values for the testing data of the TSR-ARIMA(2,1,0) and ARIMA(2,1,0) models are 8.24% and 17.37% respectively. Based on this, it can be concluded that the TSR-ARIMA(2,1,0) model is better than the ARIMA(2,1,0) model for forecasting ICP.
Effectiveness of E-Modules in Mathematics Learning in Junior High School: A Systematic Literature Review Ningrum, Sri Adiningsih Utami; Slamet, Isnandar; Fitriana, Laila Nur; Hasanah, Nur
Proceeding International Conference on Mathematics and Learning Research 2024: Proceeding International Conference on Mathematics and Learning Research
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to identify and analyze publications on the effectiveness of E-modules in learning mathematics in junior high schools based on research journal articles in the last five years, from 2019 to 2024. The systematic literature review method was used with the guidance of the PRISMA diagram. Data were obtained from 246 articles from ERIC, Scopus, and Sinta databases. After screening, 11 articles were found that met the criteria as samples. The findings of this study indicate that E-modules are effective in learning mathematics in junior high school. The characteristics of E-modules include aspects of self-instruction, self-contained, stand-alone, adaptive, user-friendly, interactive, and self-regulated. Mathematical skills or knowledge that are often researched are learning outcomes. Future research should investigate the effectiveness of E-modules in other mathematics skills or knowledge.
Realistic Mathematics Education Approach in Junior High School Mathematics Learning in Indonesia (2010-2024): A Bibliometric Analysis Ningrum, Sri Adiningsih Utami; Slamet, Isnandar; Fitriana, Laila
Jurnal Riset Pendidikan Matematika Vol. 12 No. 1 (2025): May 2025
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jrpm.v12i1.83599

Abstract

RME is an approach to teaching that starts from things that are real for students. This is relevant to current education that focuses not only on academic knowledge but also on the development of relevant skills for the world of work and everyday life. The purpose of this article is to find out the research trends regarding the realistic approach to mathematics education in secondary school and to find out the research topics that have the potential to be used as research in the future. The method used in this research is bibliometric analysis. The research data was obtained through Harzing's Publish or Perish software with Google Scholar database, the keywords realistic mathematics education and junior high school, the maximum number of results is 1000 abstracts, and the keywords are written in English and Bahasa Indonesia. The articles obtained were 960 articles with a period of 2010-2024. Then, restricted to Scopus-accredited journals, Sinta 2, and Sinta 3; there are 99 articles were obtained. The results showed that the publication trend with the research theme of an RME approach experienced the highest increase between 2016-2018 and 2021-2023. In addition, the research theme of the RME approach, which has the opportunity to be used as research in the future, has two keywords, namely systematic literature review and reasoning.
Penerapan Transfer Learning pada Arsitektur DenseNet121 dan ResNet50 untuk Deteksi Penyakit Kulit Berbasis Citra dengan Explainable AI Raditya, Dionisius Indra; Slamet, Isnandar; Susanti, Yuliana
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2025: SNESTIK V
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2025.7647

Abstract

Penyakit kulit merupakan masalah kesehatan yang umum di Indonesia, dipengaruhi oleh iklim tropis dan rendahnya kesadaran kebersihan. Diagnosis secara manual bersifat subjektif dan membutuhkan keahlian medis, sehingga diperlukan sistem otomatis yang akurat. Convolutional Neural Network (CNN) dipilih karena kemampuannya dalam mengenali pola visual dan efektivitasnya dalam klasifikasi citra medis. Penelitian ini bertujuan untuk mengembangkan sistem klasifikasi penyakit kulit menggunakan transfer learning dengan arsitektur CNN, yaitu DenseNet121 dan ResNet50, serta mengevaluasi performa dan interpretabilitas model. Sebanyak 2.344 citra dari 11 kelas penyakit kulit diambil dari dua dataset publik, kemudian diproses melalui augmentasi dan pelatihan model. Hasil menunjukkan bahwa DenseNet121 unggul dengan akurasi 95% dan macro F1-score 96%, sedangkan ResNet50 memperoleh akurasi 91% dan F1-score 94%. Evaluasi confusion matrix dan visualisasi Grad-CAM menunjukkan bahwa DenseNet121 lebih konsisten dalam mengenali area lesi utama, terutama pada kelas dengan kemiripan visual tinggi. Hasil ini menunjukkan bahwa model tidak hanya akurat, tetapi juga interpretatif, sehingga layak digunakan sebagai sistem pendukung diagnosis penyakit kulit berbasis citra.
Pemodelan Regresi Robust Metode Estimasi Generalized Maximum Likelihood pada Negara Low Human Development Nurfauziyyah, Nuha; Susanti, Yuliana; Slamet, Isnandar
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2025: SNESTIK V
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2025.7645

Abstract

Indeks Pembangunan Manusia (IPM) dibentuk sebagai parameter pembangunan suatu negara. Perhatian terhadap negara-negara yang termasuk ke dalam low human development sangat penting untuk memastikan tidak ada satu pun negara yang tertinggal dalam pencapaian Sustainable Development Goals (SDGs) tahun 2030. Tujuan penelitian ini adalah untuk memodelkan IPM pada kelompok negara low human development tahun 2022 menggunakan regresi robust estimasi GM. Perhitungan model regresi robust dilakukan untuk mengetahui faktor yang mempengaruhi IPM dengan faktor terdiri atas umur harapan hidup, harapan lama sekolah, rata-rata lama sekolah, dan pendapatan nasional bruto per kapita. Model tersebut digunakan karena data mengandung pencilan sehingga sisaan melanggar asumsi normalitas pada model regresi. Oleh karena itu, penelitian ini menggunakan regresi robust yang tahan terhadap adanya pencilan. Hasil penelitian didapatkan bahwa regresi robust estimasi GM memiliki nilai adjusted R-squared, yaitu 98,467% dengan Akaike Information Criterion (AIC) sebesar -227,149.
Students' Mathematical Communication Skills in Terms of Concrete and Abstract Sequential Thinking Styles Utami, Lintang Fitra; Pramudya, Ikrar; Slamet, Isnandar
Al-Jabar: Jurnal Pendidikan Matematika Vol 11 No 2 (2020): Al-Jabar: Jurnal Pendidikan Matematika
Publisher : Universitas Islam Raden Intan Lampung, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ajpm.v11i2.7486

Abstract

This study aimed to analyze and describe the eleventh-grade senior high school students' mathematical communication skills on linear program material in terms of concrete and abstract sequential thinking styles. This study employed a qualitative descriptive approach with the case study method. The sampling technique used was the purposive sampling technique. The mathematical communication skills test and thinking style questionnaires were employed as the data collecting technique. The analysis revealed that subjects in the AS category could make generalizations based on good reasoning in the written text aspect. On the other hand, subjects in the CS category were having a hard time constructing abstract assumptions. In the drawing aspect, subjects in the AS category showed good theories and concept understanding. In contrast, subjects in the CS category were only able to apply some of the information to draw graphs. In mathematical expressions, subjects in the AS category could process the information implied by the problem to make mathematical models correctly. Meanwhile, subjects in the CS category needed additional information or direction to understand the information to avoid mistakes. 
Practicality Analysis of PBL-Based Mathematics in Circle Material Lestari, Puji; Mardiyana, Mardiyana; Slamet, Isnandar
Indonesian Journal of Science and Mathematics Education Vol. 3 No. 3 (2020): Indonesian Journal of Science and Mathematics Education
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijsme.v3i3.7271

Abstract

This study aims to analyze the practicality level of the PBL-based mathematics module on circle material. The practicality analysis of the developed mathematics module aimed to determine the ease of use of the module according to teachers and students. This research is a qualitative descriptive study. A practicality questionnaire was used to collect the data. The subjects in this study were 2 mathematics teachers and 13 grade VIII students at SMPN 2 Jumapolo. The results of the analysis showed that the average of total score of the teacher practicality questionnaire was 78.15 and could be stated as practical. The average score of the student practicality questionnaire was 74.87, could be stated as practical. Based on the results of the analysis of the teacher and student practicality questionnaires, it can be concluded that the mathematics module based on problem-based learning on circle material is considered practical and can be used in mathematics learning.
PENINGKATAN LITERASI STATISTIKA : MEWUJUDKAN SANTRI CERDAS SEBAGAI UPAYA OPTIMALISASI ZAKAT DAN PEMBERDAYAAN POTENSI UMMAT Slamet, Isnandar; Zukhronah, Etik; Sulandari, Winita; Subanti, Sri; Sugiyanto, Sugiyanto; Susanto, Irwan; Isnaini, Bayutama; Afanyn Khoirunissa, Husna; Adi Wicaksono, Nanda; Indra Raditya , Dionisius
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 3: Agustus 2025
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pemberdayaan Potensi Ummat”. Tujuan utama kegiatan adalah membekali peserta dengan pengetahuan dasar statistika sebagai alat berpikir rasional dan analitis, serta memperkuat kesadaran akan kewajiban dan keutamaan (fadhilah) zakat dalam kehidupan sosial-keagamaan. Kegiatan diikuti oleh 114 peserta, terdiri dari 102 santri dan 12 ustadz. Materi yang disampaikan meliputi statistika dasar, konsep kewajiban zakat menurut syariat Islam, serta fadhilah zakat dalam rangka pemberdayaan umat. Tim pengabdian berasal dari Grup Riset Statistika dan Sains Data Bidang Industri dan Ekonomi, Universitas Sebelas Maret (UNS). Metode pelaksanaan meliputi pre-test, penyampaian materi secara interaktif, praktik pengolahan data sederhana, diskusi aplikatif, dan post-test. Hasil evaluasi menunjukkan peningkatan signifikan pada pemahaman peserta terhadap materi yang disampaikan. Kegiatan ini diharapkan menjadi langkah awal dalam membentuk generasi santri yang cerdas secara statistik, sadar zakat, dan siap berkontribusi dalam penguatan ekonomi umat berbasis pesantren.
Mathematical Critical Thinking: Analysis of Middle School Students' Thinking Processes in Solving Trigonometry Problems Tajuddin, Annas Tasyah; Sujadi, Imam; Slamet, Isnandar; Hendriyanto, Agus
Mosharafa: Jurnal Pendidikan Matematika Vol. 12 No. 4 (2023): October
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v12i4.1185

Abstract

Kemampuan berpikir kritis siswa dalam matematika saat ini masih lemah. Penelitian ini bertujuan untuk mengidentifikasi karakteristik kemampuan berpikir kritis matematis siswa dalam menyelesaikan masalah trigonometri. Metode penelitian yang digunakan adalah studi kualitatif dengan desain fenomenologi, melibatkan peneliti sebagai instrumen utama. Penelitian ini menggunakan tes (masalah trigonometri), pedoman wawancara, dan observasi sebagai instrumen non-tes. Subjek penelitian terdiri dari tiga siswa kelas X yang dipilih dengan teknik purposive sampling. Uji keabsahan dilakukan melalui triangulasi metode dan teori, serta analisis data menggunakan teknik induktif. Hasil penelitian menunjukkan bahwa siswa dengan kemampuan berpikir kritis cenderung lebih efektif dan cepat dalam menyelesaikan masalah trigonometri. Mereka memiliki pendekatan unik dalam memecahkan masalah dan fokus pada pencarian jawaban. Pemikiran kritis matematis juga mempengaruhi kemampuan siswa dalam memahami dan menghubungkan informasi yang ada dalam soal. Selain itu, pemikiran kritis matematis berdampak pada pemikiran logis dan daya ingat yang baik, sehingga siswa lebih mudah dalam menentukan formula pemecahan masalah. Students' critical thinking skills in mathematics are currently still weak. This study aims to identify the characteristics of students' mathematical critical thinking abilities in solving trigonometry problems. The research method used is a qualitative study with a phenomenological design involving researchers as the main instrument. This study uses tests (trigonometry problems), interview guidelines, and observation as non-test instruments. The research subjects consisted of three class X students selected by purposive sampling technique. The validity test was carried out through method and theory triangulation and data analysis using inductive techniques. The results showed that students with critical thinking skills tended to be more effective and faster in solving trigonometry problems. They have a unique approach to solving problems and focus on finding answers. Mathematical critical thinking also affects students' ability to understand and relate the information contained in the problem. In addition, mathematical critical thinking impacts logical thinking and good memory, so students find it easier to determine problem-solving formulas.
Co-Authors Adi Wicaksono, Nanda Anggraini, Putri Nurika Aprilia, Nabila Churin Aulia Ar Rakhman Awaludin Ayuningrum, Retna Azhar, Zenitha Amalia B Budiyono Budiyono Budiyono Budiyono, Budiyono Ek Ajeng Rahmi Pinahayu Fachry Abda El Rahman Fhadilla, Nahdatul Fitriana, Laila Fitriana, Laila Nur Getut Pramesti Hadi Prayitno, Hadi Handajani, Sri Sulistijowati Heldy Ramadhan Putra P Hendriyanto, Agus Heritin, Anisak Hermawati, Evi Hodiyanto, Hodiyanto Husna Afanyn Khoirunissa Ikrar Pramudya, Ikrar Imam Sujadi Imam Suryadi, Imam Indra Raditya , Dionisius Indra Setyawan Irwan Susanto Isnaini, Bayutama Janah, Rahmawati Fatkhul Kadar, Jimmy Abdel Kayyisa, Alfien Diva Lintang Fitra Utami Mardiyana Mardiyana Meilasari, Venty Muhammad Riza Naufalia Nuraya, Naufalia Neyun, Ignasia N.G. Ningrum, Sri Adiningsih Utami Nugraha, Titis Jati Nugroho, Muhamad Asif Cahya Aji Nur Hasanah Nurfauziyyah, Nuha Pardede, Hilman Ferdinandus Permatasari, Nisa Permatasari, Nisa Pitra Dwiningsih, Pitra Pratama, Yulian Surya PUJI LESTARI Raditya, Dionisius Indra Ratri, Aninda Puspa Respatiwulan, Respatiwulan Sari, Putri Permata Shanti Indah Lestari, Shanti Indah Sri Subanti Suci Irawati Sugianto Sugianto Sugiyanto - Sugiyanto, Sugiyanto Sulandari, Winita Susanti, Sarah Wahyu Susilotomoa, Dhestahendra Citra Tajuddin, Annas Tasyah Tririnika, Yuliana Valentino, Yohanes Felix Vera Rosalina Bulu Wahyu Kurniawan Winita Sulandari Wulandari, Setyati Puji Yudi Pramono Pawiro, Yudi Pramono Yuliana Susanti, Yuliana Zukhronah, Etik