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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Sainstek Jurnal Matematika Sains dan Teknologi 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 Mopolayio : Jurnal Pengabdian Ekonomi Journal of Fisheries & Marine
Novianita Achmad
Jurusan Matematika, Fakultas MIPA, Universitas Negeri Gorontalo
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Mathematics Social Sciences Other

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Algoritma Genetika Untuk Penjadwalan Karyawan Ira Stationary Kurniasari Abram; Novianita Achmad; Muhammad Rezky Friesta Payu; Nurwan Nurwan; Djihad Wungguli; Asriadi Asriadi
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 11 Issue 1 June 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v11i1.17364

Abstract

Employee scheduling is an activity plan for time sharing that contains a schedule for carrying out planned activities in the form of a table. This study aims to create an employee schedule model using a Genetic Algorithm, which is a heuristic method inspired by the process of natural selection, the strong will survive and reproduce, the stages of the Genetic Algorithm are population initialization, fitness value, selection, crossover, and mutation. The study results show an optimal model consisting of at most two shifts with a maximum of two holidays a week and not consecutively.
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%.
Co-Authors Abdul Wahab Abdullah Agusyarif Rezka Nuha Anisa Fitra Dila Hubu Asriadi Dewi Rahmawaty Isa Dewi Shinta Achmad Dewinta Mamula Djihad Wungguli Evi Hulukati FAHREZAL ZUBEDI Farianti A. Tiban Fauziah Azmi Hasan S. Panigoro Isran Hasan Isran K Hasan Jamaluddin Jompa Kurniasari Abram La Ode Nashar Lailany Yahya Mahmud, Sri Lestari Merita Ayu Indrianti Monalisa Ismail Muh. Saleh Nurdin Muhammad Afdal Bau Muhammad Rezky F. Payu Nada Chandra Fahrudin NISKY IMANSYAH YAHYA NUR ’AIN SUPU Nurhayati Abbas Nursiya Bito Nurwan Nurwan Rahmi Nindi Arsyad Rahmi, Emli Ramdan Hayati Resmawan Resmawan Riskawati Riskawati Rusli Mowuu Rusniwati S. Imran SALAMAH, ANI Saltina, Saltina Sarson W DJ Pomalato Siti Zakiyah Sri Lestari Mahmud Teuku Fadlon Haser Winni A. Pakaya Yolanda Rahim YULINAR I. AJUNU Zulmagfir Buako