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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Sainstek Jurnal Konseling dan Pendidikan Jurnal Matematika Sains dan Teknologi Indonesian Journal of Applied Statistics Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jambura Journal of Mathematics Jurnal Matematika UNAND Transformasi : Jurnal Pendidikan Matematika dan Matematika Jurnal Bakti Masyarakat Indonesia Majalah Ilmiah Matematika dan Statistika (MIMS) Jambura Journal of Mathematics Education Jambura Journal of Biomathematics (JJBM) JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Research in the Mathematical and Natural Sciences Jurnal Riset Mahasiswa Matematika Mopolayio : Jurnal Pengabdian Ekonomi Parameter: Jurnal Matematika, Statistika dan Terapannya Journal of Fisheries & Marine Biodiversitas Journal of Biological Diversity
Novianita Achmad
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Mathematics Social Sciences Other

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Pendampingan Pengembangan Potensi Desa Untuk Pemenuhan Gizi Sebagai Pencegahan Stunting Ditengah Pandemic Covid-19 Dalam Ketersdiaan Pangan Masyarakat Pesisir Evi Hulukati; Novianita Ahmad
Mopolayio : Jurnal Pengabdian Ekonomi Vol. 1 No. 2 (2022): Mopolayio : Jurnal Pengabdian Ekonomi Volume 1 Number 2 (March 2022) has been o
Publisher : Fakultas Ekonomi Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37479/mopolayio.v1i2.22

Abstract

Pengabdian ini bertujuan untuk mengelola potensi desa, mengoptimalkan potensi sumberdaya manusia di Desa Sogu dan Desa Pilohulata Kecamatan Monano Kabupaten Gorontalo Utara dengan Program utama yaitu Optimalisasi Pelayanan Aparat Desa. Materi; Kesehatan dan Kepatuhan Hukum oleh Pemerintah Desa dalam pencegahan dan penanganan Stunting dalam situasi New Normal pasca pandemik Covid-19, 2) Pendampingan pelayanan Gizi untuk kesehatan masyarakat. 3) BimTek; Sosialisasi Pola Hidup Sehat (PHBS); Patuh Protap Kesehatan. 4) Pelatihan menanam tanaman di halaman dan kebun. 5) Program Tambahan; Pengolahan Potensi Pertanian, laut dan tambak untuk kawasan wilayah pesisir; Krepek sayur bayam, Penggaraman Ikan Batu dan Naghet Udang. Hasil kegiatan pengabdian ini yaitu Grand Design Desa; Model Pengembangan Potensi Desa; Gerakan Aksi Tanggap Kesehatan Bebas Stunting dan Gerakan Tertib Hukum Protap Kesehatan Covid-19, melalui ketahanan pangan masyarakat kawasan wilayah pesisir.
Optimization the Management of Tihu Village Resources to Increase the Income of Village Communities: Optimalisasi Pengelolaan Sumber Daya Desa Tihu untuk Meningkatkan Penghasilan Masyarakat Desa La Ode Nashar Nashar; Novianita Achmad Novianita; Nisky Imansyah Yahya Nisky
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 5 (2023): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v7i5.13290

Abstract

Geographically Tihu village is located on the coast where the majority of its residents work as fishermen. Skipjack tuna is a type of fish that is abundant in Tihu village. The habit of fishermen distributing their catch to consumers causes the economic value of sales to be less than optimal. Processing skipjack tuna into shredded fish and nuggets will support the increased income of the society of Tihu village. This society service provides training to the Tihu village society to make floss, nuggets and coconut cookies according to BPOM standards as well as packaging and online marketing method. This training was carried out so that the Tihu village society could optimize their natural resources to increase their income.
Species Composition and Growth Pattern of a Multi-Species Grouper in Kwandang Bay, Sulawesi Sea, Indonesia Dewi Shinta Achmad; Muh Saleh Nurdin; Fauziah Azmi; Merita Ayu Indrianti; Evi Hulukati; Jamaluddin Jompa; Teuku Fadlon Haser; Novianita Achmad
Jurnal Ilmiah Perikanan dan Kelautan Vol. 15 No. 1 (2023): JURNAL ILMIAH PERIKANAN DAN KELAUTAN
Publisher : Faculty of Fisheries and Marine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jipk.v15i1.36673

Abstract

Highlight Research There are 26 species identified to be originated from the bay, which the highest diversity in Indonesia Six species found in Kwandang Bay is showing trends of decreasing populations and two species vulnerable based on IUCN conservation list Growth model and Fulton condition factor determined for 14 species indicates that they live in a good state of well beings in the bay The models and condition factors also reflect the adequate food resources required for grouper growth which makes Kwandang Bay as a good habitat for groupers   Abstract Grouper fishery has been the source of income for 3,700 fishermen in Kwandang Bay. Since 2017, grouper populations in Kwandang have been depleting due to the absence of management. This research aimed to analyze species composition, length-weight relationship, and condition factor of the groupers. Samples were collected from fishers who caught the fish using traps, speargun, and handline. Samples were identified through a method by Heemstra and Randall, while the length-weight relationship was estimated using log-linear regression and t-test. The number of specimens identified during January - December 2021 was 1,571 individuals. Research showed that those samples consisted of 26 species under eight genera. Six species found in Kwandang Bay were showing trends of decreasing populations and two species were vulnerable based on the IUCN conservation list. Length-weight relationship analysis of 14 grouper species resulted in b value ranging from 1.6359 to 3.4417 and R2 ranges from 0.7718 to 0.9858. A significant test at a 95% confident interval showed that 14 species had an isometric growth pattern. Fulton condition factors show that Kwandang Bay is an essential habitat for groupers, and the bay can support the fish growth due to the adequate food availability.
Application of Synthetic Minority Over-Sampling Technique (SMOTE) to Outlier Data for Probabilistic Neural Network (PNN) Ramdan Hayati; Isran Hasan; Novianita Achmad
Jurnal Matematika Sains dan Teknologi Vol. 25 No. 1 (2024)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v25i1.7209.2024

Abstract

One common model of Artificial Neural Network (ANN) used in classification tasks is the Probabilistic Neural Network (PNN). PNN is an algorithm that utilizes probability functions, eliminating the necessity for a large dataset during its development process. In this research, the best model parameters were initially determined using the sigma parameter and Kernel Density Estimation (KDE) function on a randomly sampled dataset employing the Stratified Random Sampling (SRS) method. The optimal sigma parameter obtained from this process is 0.075, with a Gaussian KDE function. The data used in this study is related to direct marketing campaigns (phone calls) from Portuguese banking institutions collected by S ́ergio. Subsequently, PNN is applied to this dataset to determine its Accuracy and F1-Score values. The results indicate an accuracy rate of 87.117% and an F1-Score of 92.755%. Following this, Synthetic Minority Over-Sampling Technique (SMOTE) is applied to the dataset to balance the data. PNN is then implemented on the oversampled data, and in this phase, an evaluation of the Accuracy and F1-Score values is conducted, resulting in respective figures of 93.437% and 93.511%.
The cognitive effects of al-qur’an memorization: a systematic review of impacts on memory, academic performance, and broader cognitive functions Novianita Achmad; Sarson W. Dj. Pomalato; Maryam Rahim; Novianty Djafri; Evi Hulukati
Jurnal Konseling dan Pendidikan Vol. 13 No. 4 (2025): JKP
Publisher : Indonesian Institute for Counseling, Education and Therapy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/1188400

Abstract

This systematic review critically synthesizes 30 empirical studies to evaluate the cognitive consequences of Al-Qur'an memorization (hifdh), addressing a significant gap in differentiating between domain-specific memory gains and broader cognitive enhancement. Utilizing a rigorous selection process from the Semantic Scholar corpus, the study examines the impact on core memory functions, the potential for transfer to academic and executive domains, and the efficacy of various pedagogical interventions. The results demonstrate compelling evidence for "near transfer," where intensive memorization reliably enhances short-term, episodic, and verbal memory. However, the evidence for "far transfer" to general intelligence or non-memory domains remains mixed; while quasi-experimental studies suggest positive academic correlations, methodologically robust controlled trials indicate that these skills are highly domain-bound. The review also highlights that structured, technology-assisted pedagogical methods significantly outperform traditional rote approaches. A key novelty of this work is the identification of a "reverse replication crisis," revealing that the field is characterized by methodological homogeneity and geographical concentration, primarily in Indonesia, which may inflate positive findings. These insights offer vital practical implications, suggesting that while educators can leverage hifdh for specific memory training, they should exercise caution regarding claims of general cognitive improvement. Ultimately, this study contributes a nuanced framework for understanding religious memorization practices, advocating for a shift toward randomized controlled trials to establish clearer causal links in educational neuroscience.
Improving Mathematics Learning Outcomes in Systems of Linear Equations in Two Variables Using the Problem-Based Learning Model Rahmat Rahmat; Ismail Djakaria; Novianita Achmad
Research in the Mathematical and Natural Sciences Vol. 5 No. 2 (2026): May-October 2026
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v5i2.319

Abstract

This study aims to improve students' mathematics learning outcomes on Systems of Linear Equations in Two Variables (SLETV) through the implementation of the Problem-Based Learning (PBL) model. This type of research is Classroom Action Research (CAR) conducted at SMP Negeri 1 Suwawa during the even semester of the 2024/2025 academic year, with 31 eighth-grade students (class VIII-B) as subjects. The research took place in a single cycle consisting of four meetings (three learning process meetings and one final test meeting). The instruments used included Lesson Plans, Student Worksheets, observation sheets for teacher and student activities, and learning achievement tests. Observation results indicated that the percentage of teacher activity in the "good" and "very good" categories increased from 63.6% in Meeting 1 to 90.9% in Meeting 3, with an overall average of 75.7%. The percentage of student activity in the "good" and "very good" categories increased from 59.1% in Meeting 1 to 90.9% in Meeting 3, with an overall average of 77.2%. Learning test results showed that among the 25 students who took the evaluation, 19 students achieved mastery (76%), thereby meeting the established classical success indicator (>= 75%). Thus, the application of the PBL model is effective in improving students' mathematics learning outcomes on SLETV.
Perbandingan Metode Dekomposisi Multiplikatif dan Metode Prophet dalam Meramalkan Nilai Tukar USD ke Rupiah Mohammad Dwitiar Nalole; Agusyarif Rezka Nuha; La Ode Nashar; Novianita Achmad; Asriadi Asriadi
Indonesian Journal of Applied Statistics Vol 8, No 1 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v8i1.96572

Abstract

Nilai tukar antara USD dan Rupiah memiliki dampak signifikan terhadap perekonomian Indonesia, sehingga peramalan yang akurat menjadi sangat penting dalam pengambilan keputusan ekonomi. Penelitian ini membandingkan metode Dekomposisi Multiplikatif dan metode Prophet dalam meramalkan nilai tukar USD terhadap Rupiah. Data nilai tukar bulanan dari tahun 2018 hingga 2023 digunakan, dengan 80% sebagai data pelatihan dan 20% sebagai data pengujian. Model akhir untuk metode Dekomposisi Multiplikatif menggabungkan komponen tren, musiman, dan siklus secara multiplikatif, sehingga memungkinkan representasi perilaku nilai tukar yang lebih rinci dari waktu ke waktu. Sebaliknya, metode Prophet menghasilkan model akhir yang menggabungkan komponen tren dan musiman secara aditif, serta mampu mengakomodasi perubahan tren secara dinamis melalui deteksi otomatis terhadap changepoints. Akurasi kedua metode dievaluasi menggunakan Mean Absolute Percentage Error (MAPE). Hasil menunjukkan bahwa metode Dekomposisi Multiplikatif memiliki nilai MAPE sebesar 1,21%, sedangkan metode Prophet memiliki nilai MAPE sebesar 5,43%. Temuan ini menunjukkan bahwa metode Dekomposisi Multiplikatif lebih akurat dalam meramalkan nilai tukar untuk periode yang diberikan, sehingga lebih sesuai untuk dataset ini yang menunjukkan pola musiman yang kuat.Kata kunci: Nilai Tukar; Peramalan; Dekomposisi Multiplikatif; Prophet; MAPE.The exchange rate between USD and Rupiah has a significant impact on Indonesia's economy, making accurate forecasting essential for economic decision-making. This study compares the Multiplicative Decomposition method and the Prophet method in forecasting the USD to Rupiah exchange rate. Monthly exchange rate data from 2018 to 2023 was used, with an 80% training set and a 20% test set. The final model for the Multiplicative Decomposition method combines the trend, seasonal, and cycle components multiplicatively, allowing for a detailed representation of the exchange rate's behavior over time. In contrast, the Prophet method produces a final model that incorporates trend and seasonal components additively, while also accommodating dynamic changes in the trend through automatic detection of changepoints.. The accuracy of both methods was evaluated using Mean Absolute Percentage Error (MAPE). Results show that the Multiplicative Decomposition method had a MAPE of 1.21%, while the Prophet method had a MAPE of 5.43%. These findings indicate that the Multiplicative Decomposition method is more accurate in forecasting the exchange rate for the given period, making it more suitable for this dataset, which exhibits strong seasonal patterns.Keywords: Exchange rate; forecasting; Multiplicative Decomposition; Prophet; MAPE.
Population dynamics of reef fish in the Kwandang Bay, Sulawesi Sea, Indonesia Dewi Shinta Achmad; Saida Gani; Widiastuti Ardiansyah; Meity Melani Mokoginta; Muh Saleh Nurdin; Jamaluddin Jompa; Merita Ayu Indrianti; Novianita Achmad
Biodiversitas Journal of Biological Diversity Vol. 23 No. 10 (2022)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d231030

Abstract

Abstract. Achmad DS, Gani S, Ardiansyah W, Mokoginta MM, Nurdin MS, Jompa J, Indrianti MA, Achmad N. 2022. Population dynamics of reef fish in the Kwandang Bay, Sulawesi Sea, Indonesia. Biodiversitas 23: 5217-5226. The grouper stocks in Kwandang Bay, Sulawesi Sea, Indonesia, are dominated by orange-spotted grouper (Epinephelus coioides) and coral trout (Plectropomus leopardus). However, the Kwandang Bay grouper fishery is currently experiencing serious challenges due to population decline resulting in a decline in both the average size of fish caught and the production volume. This study was conducted in Kwandang Bay, Sulawesi Sea, from January to December 2021. The population dynamics parameters estimated were growth, recruitment, mortality, exploitation rate and yield per recruit. The results showed that the total length (TL) of E. coioides and P. leopardus ranged from 16.50-101 cm and 17.90-60 cm, respectively, with Von Bertalanffy K-coefficients of 0.38 and 0.69, respectively. Recruitment occurred during most of the year, with respective recruitment value ranges of 0.99-17.11% and 0.08-19.22%. Natural and fishing mortality was 0.69/year-1 and 0.87/year-1 for E. coioides, 1.16/year-1 and 1.47/year-1 for P. leopardus. Beverton and Holt yield per recruit analysis indicated recruitment overfishing of both E. coioides and P. leopardus. Fishing regulations are needed to maintain a sustainable grouper fishery, including a 25% reduction in fishing vessels and gear, to enable the groupers of Kwandang Bay to spawn at least once during their life cycle.
Implementasi Particle Swarm Optimization pada Fuzzy Time Series Lee untuk Prediksi Nilai Tukar Petani NTT Ramla Mohamad; Novianita Achmad; Isran K. Hasan
Jurnal Riset Mahasiswa Matematika Vol 5, No 2 (2025): Jurnal Riset Mahasiswa Matematika
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v5i2.37544

Abstract

Nilai Tukar Petani (NTP) merupakan indikator penting untuk mengukur kesejahteraan petani di Indonesia. Data NTP, khususnya di Provinsi Nusa Tenggara Timur (NTT), menunjukkan fluktuasi yang cukup tinggi sehingga diperlukan metode peramalan yang mampu menangani pola data nonlinier dan ketidakpastian. Penelitian ini menerapkan metode Fuzzy Time Series (FTS) Lee yang dioptimasi menggunakan Particle Swarm Optimization (PSO) untuk meningkatkan akurasi peramalan NTP. PSO digunakan untuk menentukan interval fuzzy optimal sehingga proses fuzzifikasi pada FTS Lee menjadi lebih representatif terhadap variasi data. Data yang digunakan merupakan data bulanan NTP Provinsi NTT periode Januari 2021–Desember 2024 yang diperoleh dari Badan Pusat Statistik. Hasil penelitian menunjukkan bahwa model PSO-FTS Lee memberikan tingkat akurasi yang lebih baik dibandingkan FTS Lee tanpa optimasi, dengan nilai Mean Absolute Percentage Error (MAPE) sebesar 0,44\%, lebih rendah dibandingkan 0,46\% pada model standar. Temuan ini membuktikan bahwa integrasi PSO dengan FTS Lee efektif dalam meningkatkan kinerja model peramalan untuk data deret waktu yang bersifat fluktuatif dan nonlinier.
Analysis of Premium Reserves in Whole Life and Term Life Insurance Using the New Jersey Prospective Method Cabelita Husuna; Novianita Achmad; Agusyarif Rezka Nuha; Nisky Imansyah Yahya; Muhammad Yahya Ayyasy
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 4 No 3 (2025): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv4i3pp509-520

Abstract

Human life is constantly exposed to risks such as illness, accidents, and death, which create financial uncertainties for individuals and families. Life insurance serves as an essential financial instrument to mitigate these risks by transferring potential liabilities to insurance companies. This study analyzes premium reserves for whole life and term life insurance using the New Jersey Prospective Method, applying a 6% interest rate and the 2023 Indonesian Mortality Table (TMPI) as the basis of calculation. Actuarial commutation functions are employed to compute annuity values, single net premiums, annual net premiums, and reserve allocations across different ages. The results indicate that reserve values increase with age, reflecting higher mortality risks, with whole life insurance showing a sharper escalation compared to term life insurance. The New Jersey Prospective Method demonstrates accuracy and consistency in reserve estimation, particularly by setting zero reserves in the first policy year, thereby supporting initial liquidity. These findings highlight the method’s effectiveness in maintaining financial stability and readiness of insurance companies to meet future claims and long-term obligations to policyholders.
Co-Authors Abdul Wahab Abdullah Agusyarif Rezka Nuha Alvia Dita Anna Chintia Dewi Asriadi Asriadi Asriadi Awalia Emiro Cabelita Husuna Dewi Rahmawaty Isa Dewi Shinta Achmad Dewi Shinta Achmad Dewinta Mamula Djihad Wungguli Evi Hulukati FAHREZAL ZUBEDI Farianti A. Tiban Fauziah Azmi Hasan S. Panigoro Ismail Djakaria Isran K Hasan Jamaluddin Jompa Jamaluddin Jompa Kurniasari Abram La Ode Nashar La Ode Nashar Lailany Yahya Mahmud, Sri Lestari Maryam Rahim Meity Melani Mokoginta Merita Ayu Indrianti Merita Ayu Indrianti Mohammad Dwitiar Nalole Monalisa Ismail Muh Saleh Nurdin Muh. Saleh Nurdin Muhammad Afdal Bau Muhammad Rezky F. Payu Muhammad Yahya Ayyasy Nada Chandra Fahrudin Nisky Imansyah Yahya NISKY IMANSYAH YAHYA Novianty Djafri NUR ’AIN SUPU Nurhayati Abbas Nursiya Bito Nurwan Nurwan Putri Lapitung Rahmat Rahmat Rahmi Nindi Arsyad Rahmi, Emli Ramdan Hayati Ramla Mohamad Resmawan Resmawan Riskawati Riskawati Rusli Mowuu Rusniwati S. Imran Saida Gani SALAMAH, ANI Saltina, Saltina Sarson W DJ Pomalato Sarson W. Dj. Pomalato Siti Zakiyah Sri Lestari Mahmud Teuku Fadlon Haser Widiastuti Ardiansyah Winni A. Pakaya Yolanda Rahim YULINAR I. AJUNU Zulmagfir Buako