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ANALYZING OPEN UNEMPLOYMENT RATE IN JAVA USING PENALIZED SPLINE NONPARAMETRIC REGRESSION Santi, Vera Maya; Ningsih, Nia Rahayu; Ladayya, Faroh
International Journal of Applied Science and Sustainable Development (IJASSD) Vol. 4 No. 2 (2022): International Journal of Applied Science and Sustainable Development (IJASSD)
Publisher : Lembaga Penelitian dan `Pengabdian Kepada Masyarakat (LPPM)

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Abstract

In regression analysis, there are three regression curve approach methods: parametric approach, semiparametric approach, and nonparametric approach. One of the estimation methods in nonparametric regression is spline regression with parameter estimation methods, namely smoothing, truncated, and penalized. Penalized spline estimation controls the smoothness of the curve so that the curve avoids stiffness and overfitting and does not require assumptions. This study aims to analyze the open unemployment rate in Java, which has the highest open unemployment rate in Indonesia, where studies using this approach have never been conducted. The study's results resulted in an additive Mean Square Error (MSE) of 4.137 with a coefficient of determination of 44.58%, indicating that explanatory variables of 44.58% could explain the open unemployment rate. Based on the parameter significance test, the factors that significantly effect the open unemployment rate are the dependency ratio, the GDP growth rate, senior high school gross enrollment, percentage of the poor population, and population growth rate.
Forecasting Indonesia’s Export Revenue through a Vector Autoregressive Exogenous Approach Sudarwanto, Sudarwanto; Puteri, Syafa Marisha; Santi, Vera Maya; Alwansyah, Muhammad Arib
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 10, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v10i2.36760

Abstract

The Vector Autoregressive with Exogenous Variables (VARX) model extends the conventional VAR framework by explicitly incorporating external macroeconomic drivers, offering a more structurally informed approach to export forecasting. This study contributes to the literature by introducing a disaggregated modeling strategy that treats oil and gas exports and non-oil and gas exports as separate endogenous components, an aspect that has been largely overlooked in previous studies on Indonesia’s export performance. By positioning VARX as a system-based forecasting tool rather than a purely statistical extension, this research provides an updated methodological perspective on export revenue analysis. Using monthly data from January 2015 to December 2024, this study evaluates several VARX specifications that integrate the rupiah–US dollar exchange rate and West Texas Intermediate (WTI) crude oil prices as exogenous variables. Model selection is conducted based on a combination of information criteria and forecasting performance indicators, leading to the identification of VARX(5,6) as the most suitable specification. The inclusion of exogenous variables is shown to substantially enhance predictive accuracy, confirming the relevance of external economic shocks in shaping Indonesia’s export revenue dynamics. Empirical results indicate that WTI oil prices exert a significant causal influence on export revenue, while the exchange rate effect becomes meaningful when jointly evaluated with oil prices and endogenous export components. The selected VARX(5,6) model demonstrates strong forecasting performance, achieving a MAPE of 5.60% and an nRMSE of 6.40%. From a policy standpoint, these findings suggest that export planning and stabilization policies should explicitly account for global oil price volatility and exchange rate interactions. The proposed VARX framework can therefore serve as a practical analytical tool for policymakers to anticipate short-term export fluctuations and design responsive trade and macroeconomic strategies under external uncertainty.
Effectiveness of Data Visualization Training for Junior and Senior High School Teachers to Improve Scientific Article Writing Competence Santi, Vera Maya; Rahayu, Widyanti; Arafiyah, Ria; Ladayya, Faroh; Hashifah, Zahrah; Sarwa, Amira Basyila; Putri, Kinanti Anindia; Nurkhotimah, Siti Fadilah; Ul Aliyah, Ayda Syifa
Pelita Eksakta Vol 9 No 1 (2026): Pelita Eksakta, Vol. 9, No. 1
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol9-iss1/335

Abstract

This community service program aims to enhance the scientific article writing competence of junior and senior high school teachers in Sukabumi Regency through training on data presentation and visualization using Microsoft Excel with the Data Analysis Add-Ins. The initiative was designed to address teachers’ limited statistical skills, low technological literacy, and challenges in processing and interpreting data for research activities. Conducted online in two sessions, the training included material delivery, software demonstrations, and pre- and post-training assessments. The results indicate a significant improvement in participants’ knowledge, as evidenced by the paired t-test yielding a p-value of 0.00. Thematic analysis of open-ended responses further revealed positive perceptions regarding the training’s relevance, clarity, and usefulness in strengthening statistical understanding. Overall, the program effectively improved teachers’ competencies in data analysis and scientific writing, while participants also expressed the need for more advanced training related to educational media and professional development
Peningkatan Kompetensi Guru melalui Pelatihan Pembuatan Infografis sebagai Media Pembelajaran Digital Interaktif Sari, Nilam Novita; Sumargo, Bagus; Santi, Vera Maya; Rahayu, Widyanti; Adzima, Khaola Rachma; Khotimah, Tiara Husnul; Sahila, Sahiba; Mahardika, Baihaqy; Fadya, Khansa Salsabil
Jurnal SOLMA Vol. 15 No. 1 (2026)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v15i1.21350

Abstract

Background: Kualitas pendidikan yang unggul menuntut guru untuk memiliki kompetensi literasi digital, kemampuan berpikir kritis, dan keterampilan kolaboratif. Namun, kesenjangan kompetensi digital guru di Indonesia masih cukup besar, khususnya dalam kemampuan mendesain media pembelajaran visual seperti infografis. Penelitian ini bertujuan untuk menganalisis pengaruh pelatihan pembuatan infografis terhadap peningkatan kompetensi guru dalam mendesain media pembelajaran digital interaktif. Metode penelitian menggunakan desain eksperimen semu (quasi-experimental) dengan model one-group pre-test and post-test. Sampel penelitian berjumlah 15 guru SMP di Kabupaten Sukabumi yang dipilih secara purposif. Data dikumpulkan melalui kuesioner pre-test dan post-test untuk mengukur pengetahuan konseptual dan persepsi guru terhadap infografis. Analisis data dilakukan dengan uji Wilcoxon Signed-Rank dan perhitungan effect size. Hasil penelitian menunjukkan adanya peningkatan signifikan pada kompetensi guru setelah pelatihan (p = 0,000714 < 0,05) dengan nilai effect size sebesar 0,881 yang termasuk kategori pengaruh sangat besar. Hal ini menunjukkan bahwa pelatihan pembuatan infografis efektif dalam meningkatkan keterampilan guru baik secara teknis maupun pedagogis. Dengan demikian, pelatihan ini berkontribusi dalam memperkuat literasi digital dan kemampuan komunikasi visual guru di era pembelajaran digital.
Co-Authors Abi Wiyono Adzima, Khaola Rachma Afifah Nur Mutia Alwansyah, Muhammad Arib Ambarwati, Defina Arafiyah, Ria Auria Yusrin Fathya Bagus Sartono Bagus Sumargo Bagus Sumargo Bagus Sumargo, Bagus Baihaqi, Aulia Barus, Janna Sri Bina Br Binoto, Rustham Michael Contillo, Gerry Dania Siregar Dania Siregar Devi Eka Wardani Dian Handayani Dwi Antari Wijayanti Ellis Salsabila, Ellis Erin Naudy Kemalasari Fadya, Khansa Salsabil Fanya Izmi Hawa Faoza Saaroh Fariani Hermin Faroh Ladayya Gatri Eka Kusumawardhani Gusnia, Farida Hashifah, Zahrah Hatami, Alifa Syauqi Herlina Nofita Ibnu Hadi Indahwati Indiyah, Fariani Hermin Indriana, Devi Jadid Irtakhoiri Jaisy Aulia Kamil, Adine Ihsan Kamilia, Rifa Khoirunnisa Koeshella, Ajeng Ladayya, Faroh Lili Hastuti Lina Nafisah Lukman El Hakim Luthfiani, Luthfiani Mahardika, Baihaqy Mahatma, Yudi Makmuri Makmuri Maulida Audia Firdaus Meidianingsih, Qorry Meila Nadya Muhammad Alief Ghifari Muhammad Ichsan Muhammad Rafli Muzakki Tamami NATALIE EFRATA SUSANTI Nilam Novita Sari Ningsih, Nia Rahayu Novia Sucy Aristawidya Nurkhotimah, Siti Fadilah Pinta Deniyanti Sampoerno Pinta Deniyanti Sampoerno Prima Riyani Puteri, Syafa Marisha Putri, Kinanti Anindia Rahayuningsih, Yuliana Rahfa Qur’aniyatin Dhuha Ria Arafiyah Riam Nurussilmah Rianiati Monica Ridana, Farah Fadhilah Rifqy Marwah Akhsanti Riska Agustin Riyantobi, Ariq Muammar Safira Datu Sahila, Sahiba Sarwa, Amira Basyila Septio, Giovani Sinta Rahmadani Siregar, Dania Siti Rohmah Rohimah Sudarwanto Sudarwanto, Sudarwanto SUYONO Suyono Suyono Suyono Suyono Syarifah Ayu Angela Syifa Azzahra Tamami, Muzakki Tian Abdul Aziz Tiara Husnul Khotimah Tonah Tri Murdiyanto Ul Aliyah, Ayda Syifa Wahyu, Rahadian Wardani Rahayu WIDIASTUTI - Widyanti Rahayu Widyanti Rahayu Widyanti Rahayu Widyanti Rahayu Widyanti Rahayu Wilsen Wilsen Zahra Ayu Rahmadani Zahrah Hashifah