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Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences
Published by Pusat Studi Bahasa dan Publikasi Ilmiah
ISSN : -     EISSN : 2964867X     DOI : https://doi.org/10.53696/2964-867X.60
Core Subject : Science, Education, Social,
Education Environmental Science Mathematics Physics Other
Mathematics and Natural Sciences Education Learning Innovation Development of Mathematics and Natural Sciences Education Sciences Aplication of Mathematics and Natural Sciences Education Actuarial Technology Based of Learning Mathematics and Natural Sciences Study of Learning Mathematics and Natural Sciences
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 127 Documents
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Kemajuan Teknologi Membran Adsorpsi Pewarna untuk Pengolahan Air Limbah Berkelanjutan: Tinjauan Material, Mekanisme, Kinerja, dan Arah Riset Sumiati Side; Rini Perdana
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 4 (2026): MIPA dan dan Pendidikan lingkup MIPA
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i4.504

Abstract

Pencemaran air limbah oleh pewarna sintetis masih menjadi persoalan lingkungan karena molekul pewarna umumnya bersifat stabil, sulit terdegradasi, dan dapat menurunkan kualitas ekosistem perairan. Artikel review ini bertujuan menganalisis kemajuan teknologi membran adsorpsi pewarna, terutama dari aspek desain material, metode fabrikasi, mekanisme adsorpsi, indikator kinerja, stabilitas penggunaan ulang, dan tantangan implementasi. Metode yang digunakan adalah telaah pustaka berbasis sintesis tematik terhadap studi membran adsorptif berbahan polimer, biopolimer, graphene oxide, metal-organic framework, covalent organic framework, biochar, dan material hibrida lain yang dilaporkan dalam literatur terbaru. Hasil sintesis menunjukkan bahwa peningkatan kinerja membran terutama ditentukan oleh porositas, luas permukaan aktif, muatan permukaan, hidrofilisitas, dan keberadaan gugus fungsional yang mampu membentuk interaksi elektrostatik, ikatan hidrogen, tumpukan pi-pi, pertukaran ion, serta pengayakan ukuran. Membran nanokomposit dan membran fungsional responsif pH memperlihatkan kapasitas adsorpsi, selektivitas dye/salt, regenerasi, dan sifat antifouling yang lebih baik dibanding membran konvensional. Namun, sebagian besar studi masih dilakukan pada larutan model, durasi operasi singkat, dan belum sepenuhnya menguji air limbah nyata. Oleh karena itu, pengembangan membran adsorpsi pewarna selanjutnya perlu diarahkan pada fabrikasi hijau, skalabilitas, uji kontinu jangka panjang, dan evaluasi ekonomi-lingkungan
Analisis Volatilitas dan Peramalan Return Saham Perusahaan Asuransi Menggunakan Model Garch: Studi Kasus PT Maskapai Reasuransi Indonesia Tbk Azmilah Hapidhatur Rahmah; Fithri Sri Mulyani; Ahmad Fitri
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 4 (2026): MIPA dan dan Pendidikan lingkup MIPA
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i4.511

Abstract

This study aims to analyze the volatility and forecast the stock returns of PT Maskapai Reasuransi Indonesia Tbk. during the 2022–2025 period using the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model. The company was selected because it represents the reinsurance subsector, which has received relatively limited attention in stock return volatility studies compared with other financial sectors listed on the Indonesia Stock Exchange. This study uses secondary data in the form of daily closing stock prices, which were transformed into log returns. The analysis consisted of descriptive statistics, stationarity testing using the Augmented Dickey-Fuller (ADF) test, ARIMA model identification, ARCH-LM testing, GARCH(1,1) estimation, model evaluation, and forecasting. The results show that the return series is stationary (ADF p-value = 0.01), and the best mean model is ARIMA(1,0,1). The ARCH-LM test confirms the presence of heteroscedasticity (p-value = 9.258 × 10⁻¹⁰), supporting the application of the GARCH model. The estimated GARCH(1,1) model produced α = 0.138186 and β = 0.816668, indicating persistent stock return volatility. Model evaluation confirmed that the model satisfied residual diagnostic criteria, with no residual autocorrelation, no remaining ARCH effects, and an RMSE of 0.03960696. Forecasting results indicate that stock returns and volatility tend to converge toward more stable conditions, while volatility is influenced more by previous-period volatility than by short-term shocks. These findings contribute to the literature on stock return volatility modeling in the Indonesian reinsurance sector and provide useful information for risk management and investment decision-making.
Penerapan Model Geometric Brownian Motion dalam Memprediksi Harga Penutupan Saham Sektor Asuransi di Bursa Efek Indonesia (Studi Kasus: PT. Asuransi Multi Artha Guna Tbk) Syifa Ajmilatunnisa; Fithri Sri Mulyani; Ahmad Fitri
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 4 (2026): MIPA dan dan Pendidikan lingkup MIPA
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i4.514

Abstract

Ideal stock price prediction model should capture the random and fluctuating nature of stock price movements to produce more accurate forecasts. Since stock prices are highly dynamic and subject to unexpected changes, predicting future prices remains challenging due to market uncertainty and volatility. Nevertheless, many previous studies have relied on deterministic approaches, such as linear regression and ARIMA, which often fail to adequately represent stochastic market behavior. Therefore, this study aims to develop a mathematical model for predicting future stock prices using the Geometric Brownian Motion (GBM) model, particularly to support investors in selecting companies within the insurance sector. This research employs descriptive and predictive quantitative approaches. The descriptive approach examines the historical characteristics of stock price data, while the predictive approach applies the GBM model to represent asset price movements as a stochastic process influenced by return and volatility parameters. The study focuses on PT Asuransi Multi Artha Guna Tbk (AMAG) during the 2024–2026 period, using approximately 500 historical data observations collected from Investing.com. The findings indicate that the GBM model achieved a Mean Absolute Percentage Error (MAPE) of 8.09%, which is below the 10% threshold and demonstrates a very high level of predictive accuracy. These results suggest that the GBM model effectively captures the price dynamics of AMAG stock and can serve as a reliable forecasting tool for investment analysis. Future studies are recommended to incorporate external economic factors or compare GBM with other stochastic models to further improve prediction accuracy and reduce forecasting errors.
Analisis Jenis Kesalahan Siswa Berdasarkan Kriteria Watson Pada Materi Bangun Ruang Sisi Datar Nursalam Nursalam; Suradi Tahmir; Muhammad Ammar Naufal
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 4 (2026): MIPA dan dan Pendidikan lingkup MIPA
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i4.517

Abstract

This is a qualitative descriptive study that aims to describe student errors based on Watson's criteria in flat-sided solid geometry material in grade VIII of SMPN 11 Buton. The subjects of this study were grade VIII students. The technique for determining the research subjects was by administering a diagnostic test to select two high-ability subjects and two moderate-ability subjects. Data collection techniques included administering a diagnostic test, administering a math ability test, interviews, and documentation. The results showed that students with high ability made two errors out of eight Watson criteria: incorrect data errors, incorrect procedures, missing data, missing conclusions, conflicting response levels, indirect manipulation, skill hierarchy problems. In addition to the seven categories above, high-ability students made errors in inappropriate procedures and missing conclusions. This means that high-ability students made errors in determining their final grades and did not write conclusions from their answers. Then, for subjects with low ability, they made 7 types of errors based on Watson's criteria, namely inaccurate data errors, incorrect procedures, missing data, missing conclusions, conflicting response levels, indirect manipulation, and skill hierarchy problems. Subjects with low ability did not make errors in types of errors other than the 7 categories above. This was because the subjects were unable to understand the concept of the problem, were less careful in working on the problem, which impacted the procedure and the results obtained were less accurate.
Pengaruh Penerapan Pendekatan Deep Learning terhadap Pemahaman Konsep Matematis dan Self-Concept Siswa SMP Gisna Saharani Nurfadilah; Ike Natalliasari; Redi Hermanto
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 4 (2026): MIPA dan dan Pendidikan lingkup MIPA
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i4.522

Abstract

Mathematical conceptual understanding and self-concept remain relatively low, as evidenced by their difficulties in explaining mathematical concepts, representing concepts in different forms, and demonstrating confidence in solving mathematical problems. In addition, the average mathematics scores of Grade VIII students at SMP Negeri 15 Tasikmalaya ranged from only 25 to 28, indicating unsatisfactory learning outcomes. One potential strategy to address these challenges is the implementation of the deep learning approach in mathematics instruction. Therefore, this study aimed to examine the effect of the deep learning approach on students’ mathematical conceptual understanding and self-concept. A quantitative experimental method with a posttest-only control group design was employed. The population consisted of all Grade VIII students at SMP Negeri 15 Tasikmalaya. Using cluster random sampling, Class VIII-F (34 students) was selected as the experimental group, while Class VIII-E (35 students) served as the control group. Data were collected through a mathematical conceptual understanding test and a self-concept questionnaire. The data were analyzed using an independent samples t-test after meeting the assumptions of normality and homogeneity. The findings revealed a statistically significant effect of the deep learning approach on students’ mathematical conceptual understanding and self-concept, with a significance value of 0.001 (p < 0.05). These findings suggest that the deep learning approach is effective in enhancing students’ mathematical conceptual understanding and self-concept.
Development of Higher Order Thinking Skills (HOTS) Test Instruments on Dynamic Electricity Material in 9th Grade Junior High School Riska Wahyuni; Ramlawati; Rifda Nur Hikmahwati Arif
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 4 (2026): MIPA dan dan Pendidikan lingkup MIPA
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i4.526

Abstract

This study aims to determine: (1) the validity of the Higher Order Thinking Skills (HOTS) instrument on dynamic electricity material; and (2) the reliability of the Higher Order Thinking Skills (HOTS) instrument on dynamic electricity material. This study employed a Research and Development (R&D) method using the ADDIE development model and was conducted up to the implementation stage. Data were collected through expert validation questionnaires to assess content validity and field testing of the HOTS instrument to obtain empirical validity and reliability data. The results showed that the instrument achieved an average content validity index of 0.9, indicating that it met the criteria for content, construction, and language validity. Of the 25 test items developed, 21 items were empirically valid and 4 items were invalid. The reliability coefficient was 0.92, indicating that the instrument was highly reliable. Therefore, the developed HOTS instrument is valid and reliable for measuring higher-order thinking skills in dynamic electricity material for ninth-grade junior high school students.
Analisis Kemampuan Pemecahan Masalah Matematis Siswa Sekolah Menengah Pertama Pada Materi Persamaan Linear Satu Variabel Iis Lestari; Eline Yanty Putri Nasution
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 4 (2026): MIPA dan dan Pendidikan lingkup MIPA
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i4.565

Abstract

Students' mathematical problem-solving ability in the topic of linear equations in one variable (PLSV) is still not optimal because students tend to directly perform calculations or write final answers without going through systematic problem-solving steps. This study aims to describe students' mathematical problem-solving ability on the PLSV topic based on Polya's steps. This research uses a descriptive qualitative approach supported by simple quantitative data. The population of this study is eighth-grade students in a public junior high school in Sungai Penuh, with a sample of 16 students selected using purposive sampling. The research instrument is a mathematical problem-solving test consisting of five questions based on the indicators of understanding the problem, devising a plan, carrying out the plan, and checking the solution, and all items are declared valid. Data analysis was conducted through data reduction, data presentation, and conclusion drawing. The results show that 18.75% of students are in the very good category, 6.25% in the good category, and 25% each in the fair, poor, and very poor categories. The highest indicator achievement is in carrying out the plan (89.06%), while the lowest is in devising a plan (29.68%). Therefore, students' mathematical problem-solving ability in the PLSV topic still needs to be improved, especially in habituating students to solve problems systematically according to Polya's steps.
Pengembangan Modul Literasi Numerasi Berbasis Konteks Budaya Lokal Untuk Siswa SMP Negeri 3 Palopo Aura Negarawan; Rio Fabrika Pasandaran; Karmila Karmila
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 4 (2026): MIPA dan dan Pendidikan lingkup MIPA
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i4.566

Abstract

The low ability of students' numeracy literacy, students' difficulties in applying mathematical concepts to various problems, and the lack of integration of local culture in teaching materials cause mathematics learning to feel abstract and less meaningful for students. This type of research is a development research (Research and Development) which aims to determine the process and results of developing a valid, practical, and effective numeracy literacy teaching module based on local cultural context for class VIII students of SMP Negeri 3 Palopo. The development model used is the 4-D model which includes the stages of defining, designing, developing, and disseminating. The instruments used are the teaching module validation sheet, student response questionnaire, observation sheet, and numeracy literacy ability test. The results of the limited trial show that (1) the average result of the validity of the teaching module is 3.1 with a valid category; (2) the results of the practicality test of the teaching module include an average student response of 83.63%, an average learning implementation of 94.56%, and an average student activity of 85.09%; and (3) the results of the effectiveness test of the teaching module as seen from the percentage of students' completion of the numeracy literacy test results of 74.07% with an effective category. Based on the results of this study, the numeracy literacy teaching module based on the local cultural context that was developed meets the requirements of being valid, practical, and effective.
Analisis Kemampuan Pemecahan Masalah Matematis Siswa pada Materi Persamaan Kuadrat Farel Gusta Juyan Putra; Eline Yanty Putri Nasution
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 4 (2026): MIPA dan dan Pendidikan lingkup MIPA
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i4.567

Abstract

Mathematical problem-solving ability is an essential competency in mathematics learning because it enables students to analyze, plan, and solve mathematical problems systematically. However, many students still encounter difficulties in solving algebra problems, particularly in evaluating the correctness of their solutions. Therefore, this study aimed to analyze the profile of students’ mathematical problem-solving ability in algebra based on Polya’s problem-solving stages. This study employed a descriptive qualitative research design. The population consisted of all SMA Negeri 2 Kerinci students, totaling 21 tenth-grade students as the research sample that was selected using a purposive sampling technique. Data were collected through a mathematical problem-solving test administered to all students, after which four students representing the categories of very good, good, fair, and poor were selected purposively for in-depth analysis. The instrument was tested for validity, reliability, item difficulty, discrimination index, and item correlation using SPSS. The results indicated that 9.52% of students were categorized as very good, 28.57% as good, 52.38% as fair, and 9.52% as poor. Based on Polya’s stages, students achieved 71.43% in understanding the problem, 85.71% in devising a plan, 66.67% in carrying out the plan, and 4.76% in looking back. The findings reveal that most students were able to understand problems, devise solution strategies, and carry out solution plans, whereas the looking-back stage remained the weakest aspect of their mathematical problem-solving profile. These findings imply that mathematics instruction should emphasize not only obtaining correct answers but also developing students’ habits of solving problems systematically and verifying their solutions.
Efektivitas Model Kooperatif Make A Match Untuk Meningkatkan Hasil Belajar Peserta Didik Kelas VII (Studi Pada Materi Pokok Sistem Organisasi Kehidupan) Ekawati; Rifda Nurhikmawati Arif
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 4 (2026): MIPA dan dan Pendidikan lingkup MIPA
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i4.577

Abstract

Low student learning outcomes on the topic of the Organization of Life Systems remain a challenge in junior high school science education. The abstract nature of the material requires the implementation of interactive learning models to increase student engagement and improve learning outcomes. This study aimed to determine the effectiveness of the Make a Match cooperative learning model in improving the learning outcomes of seventh-grade students at SMP Negeri 26 Makassar on the topic of the Organization of Life Systems. This study employed a Classroom Action Research (CAR) design conducted in three cycles, involving 32 students from Class VII.4 as research subjects. The instrument was a formative test consisting of 10 multiple-choice questions administered at the end of each cycle. Data were analyzed using the class mean score, learning mastery percentage, and N-Gain score. The results showed an improvement in students' learning outcomes, with the mean score increasing from 65.94 with a learning mastery percentage of 53.13% in Cycle I, to 76.56 with a mastery percentage of 75.00% in Cycle II, and reaching 80.78 with a mastery percentage of 84.38% in Cycle III. The N-Gain analysis obtained a score of 0.4818 (48.18%), which was categorized as moderate, with 2 students (6.25%) in the high category, 26 students (81.25%) in the moderate category, and 4 students (12.50%) in the low category. The findings indicate that the implementation of the Make a Match cooperative learning model is proven to improve students' learning outcomes on the topic of the Organization of Life Systems.

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