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All Journal Lentera Pustaka Desimal: Jurnal Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Berkala Bioteknologi Jambura Journal of Mathematics InPrime: Indonesian Journal Of Pure And Applied Mathematics Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Buguh: Jurnal Pengabdian Kepada Masyarakat International Journal of Electronics and Communications Systems Jurnal Mahasiswa Ilmu Komputer Jurnal Statistika dan Komputasi (STATKOM) JPLED
Khoirin Nisa
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Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Analysis of Food Security Factors in Indonesia using SEM-GSCA with the Alternating Least Squares Method Dewi, Wardhani Utami; Nisa, Khoirin; Usman, Mustofa
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 8, No 2 (2024): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v8i2.20378

Abstract

An economic recession, characterized by prolonged economic decline, increased unemployment, and decreased spending, is projected to occur globally in 2023, potentially impacting production capacity within the food sector. Experts have identified various contributing factors such as shifts in global trade dynamics and geopolitical tensions, highlighting the need to understand the broader global economic context leading to this recession. To achieve this goal, in this research SEM is used to analyze the relationship between variables that influence food security. Furthermore, GSCA is used to handle complex structural models and non-normal data distribution. Special considerations include the use of ALS methods to estimate parameters effectively and consistently. The findings of this research are the important role of availability, access and utilization in shaping food security in Indonesia, with a contribution of 98% of the overall influence shown by the model. These insights help governments design targeted interventions to improve food security, especially amidst challenges posed by a potential global economic downturn. Implementing strategies to increase availability, increase access and optimize utilization is very important in maintaining food security amidst economic uncertainty.
Converting Corn Cobs into Briquettes in Braja Harjosari Village, Braja Salebah Subdistrict, East Lampung Regency Sutrisno, Agus; Zakaria, La; Aziz, Dorrah; Nisa, Khoirin
Jurnal Pengabdian Kepada Masyarakat (JPKM) TABIKPUN Vol. 6 No. 2 (2025)
Publisher : Faculty of Mathematics and Natural Sciences - Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpkmt.v6i2.164

Abstract

Corn cobs are agricultural waste that can be processed into an alternative firewood. Carbonization (pyrolysis) followed by briquetting is one method to process biomass into solid charcoal. According to a survey conducted, the large amount of corn cob waste is due to a lack of knowledge in processing waste which causes health and environmental problems. Converting corn cob waste into briquettes transforms it into a valuable commodity. In fact, transforming corn cob waste is essentially applying the zero waste concept to agricultural production systems. Based on potential and agreements with farmer groups, community members, and local government, this service activity was carried out. The productivity of the briquette charcoal business made from corn waste is increased through training and assistance.
Enhancing Tuberculosis Diagnosis: Effective Naive Bayes Classification using SMOTE and Tomek Links for Imbalanced Data Faulina, Naflah; Nisa, Khoirin; Warsono, Warsono
InPrime: Indonesian Journal of Pure and Applied Mathematics Vol. 6 No. 2 (2024)
Publisher : Department of Mathematics, Faculty of Sciences and Technology, UIN Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/inprime.v6i2.41463

Abstract

Naive Bayes classification, grounded in Bayes' theorem, is a well-established probabilistic and statistical method. However, it often faces challenges when dealing with datasets that have skewed class distributions. A common issue with unbalanced data is that the classifier tends to predict the majority class more accurately, leading to high accuracy for the majority class but low accuracy for the minority class. Resampling techniques such as oversampling, undersampling, or a combination of both can be employed to address this. This research introduces a novel approach to balancing training data using a hybrid method that combines SMOTE (Synthetic Minority Oversampling Technique) and Tomek Links by applying this method to tuberculosis (TB) diagnosis data from Mayjend HM Ryacudu Kotabumi Hospital. We evaluate the Naive Bayes classifier's performance on the original and newly balanced data.  We used 826 patient data for training and 207 for testing out of 1,033. Of the 826 records in the training dataset, 306 patients had a TB diagnosis, whereas 520 patients did not. To achieve a better balance between the majority and minority classes, we oversampled 214 data in the minority class to match the number in the majority class. If necessary, we also reduce 214 data from the majority class. The results demonstrate that this hybrid approach significantly enhances the performance of the Naive Bayes model in terms of data balancing and overall accuracy. Specifically, the hybrid method achieves an average specificity of 96%, sensitivity of 88%, false positive fraction (FPF) of 4%, and false negative fraction (FNF) of 12%. These findings highlight the effectiveness of combining SMOTE and Tomek Links, providing a robust solution for improving classification performance in unbalanced datasets.Keywords: Naive Bayes classification; SMOTE; Tomek Links; SMOTE+Tomek Links; tuberculosis. AbstrakKlasifikasi Naive Bayes, yang didasarkan pada Teorema Bayes, adalah metode probabilistik dan statistik yang sudah mapan. Namun, metode ini sering menghadapi tantangan ketika berhadapan dengan kumpulan data yang memiliki distribusi kelas yang miring (tidak seimbang). Masalah umum pada data yang tidak seimbang adalah bahwa pengklasifikasi cenderung memprediksi kelas mayoritas dengan lebih akurat, yang mengarah pada akurasi tinggi untuk kelas mayoritas namun menghasilkan akurasi rendah untuk kelas minoritas. Untuk mengatasi masalah ini, teknik resampling seperti oversampling, undersampling, atau kombinasi keduanya dapat digunakan. Penelitian ini memperkenalkan pendekatan baru untuk menyeimbangkan data pelatihan menggunakan metode hibrida yang menggabungkan SMOTE (Synthetic Minority Oversampling Technique) dan Tomek Links. Dengan menerapkan metode ini pada data diagnosis tuberculosis (TB) dari Rumah Sakit Mayjend HM Ryacudu Kotabumi. Kami mengevaluasi kinerja pengklasifikasi Naive Bayes pada data yang tidak seimbang asli dan data yang sudah seimbang. Kami menggunakan 826 data pasien untuk pelatihan dan 207 untuk pengujian dari total 1.033. Dari 826 catatan dalam dataset pelatihan, 306 pasien didiagnosis dengan TB, sedangkan 520 pasien tidak. Untuk mencapai keseimbangan yang lebih baik antara kelas mayoritas dan minoritas, kami melakukan oversampling sebanyak 214 data pada kelas minoritas agar jumlahnya seimbang dengan kelas mayoritas. Selain itu, kami juga mengurangi 214 data dari kelas mayoritas. Hasilnya menunjukkan bahwa pendekatan hibrida ini secara signifikan meningkatkan kinerja model Naive Bayes dalam hal keseimbangan data dan akurasi keseluruhan. Secara spesifik, metode hibrida ini mencapai spesifisitas rata-rata sebesar 96%, sensitivitas sebesar 88%, fraksi positif palsu (FPF) sebesar 4%, dan fraksi negatif palsu (FNF) sebesar 12%. Temuan ini menyoroti efektivitas penggabungan SMOTE dan Tomek Links, serta memberikan solusi yang tangguh untuk meningkatkan kinerja klasifikasi di tengah kumpulan data yang tidak seimbang.Kata Kunci: klasifikasi Naive Bayes; SMOTE; Tomek Links; SMOTE+Tomek Links; tuberkulosis. 2020MSC: 68T05, 62R07.
Implementation of Interactive Digital Media: A Case Study of Articulate Storyline in Indonesian Language Learning Nisa, Khoirin; Ansori, Isa
Journal of Practice Learning and Educational Development Vol. 5 No. 4 (2025): Journal of Practice Learning and Educational Development (JPLED)
Publisher : Global Action and Education for Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58737/jpled.v5i4.755

Abstract

The limited active participation of students in Indonesian language learning at the elementary school level remains a pedagogical challenge that has not been effectively addressed. Conventional teacher-centered practices tend to create passive learning environments and diminish students’ enthusiasm for learning. To address this issue, the present study aims to examine the effectiveness of the Articulate Storyline platform in enhancing fourth-grade elementary students’ engagement in Indonesian language learning. Employing a qualitative case study design, the research involved 25 students and one teacher from SDN Jekulo 02 Kudus. Data were collected through participant observation, in-depth interviews, and documentation, and were analyzed using the Miles and Huberman interactive model. The findings reveal that the implementation of Articulate Storyline significantly increased students’ activeness in asking questions (from 32% to 84%), participation in discussions (40% to 92%), concentration in learning (48% to 96%), and enthusiasm in completing assignments (36% to 88%). The media also facilitated spontaneous collaboration, independent learning, and the development of listening, speaking, reading, and writing skills. Its interactive and contextually relevant multimedia features proved to be the primary drivers of increased student motivation. Nevertheless, limitations in device availability and digital literacy emerged as technical barriers that need to be addressed. The study recommends the sustainable integration of interactive digital media, accompanied by teacher training and the development of adaptive local content, as a strategy for transforming Indonesian language learning in elementary schools.
PELATIHAN STATISTIKA DESKRIPTIF UNTUK DATA ADMINISTRATIF DESA DI KECAMATAN TANJUNG RAJA KABUPATEN LAMPUNG UTARA saidi, subian; Netti Herawat; Misgiyati; Khoirin Nisa; Agus Sutrisno
BUGUH: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol. 6 No. 1 (2026): Maret 2026
Publisher : Badan Pelaksana Kuliah Kerja Nyata Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/buguh.v6n1.3385

Abstract

Data administratif merupakan kumpulan data yang memiliki sifat nyata tentang sesuatu yang dianggap penting dan disimpan secara sistematis dalam sebuah sistem untuk mendapatkan suatu informasi tentang suatu hal yang berhubungan dalam ruang lingkup tertentu. Catatan administrasi Desa yang dikumpulkan mempunyai tujuan pengambilan keputusan tertentu, sehingga adanya satuan identitas yang memiliki kesesuaian dengan catatan tertentu sangat penting. Perlu dilakukan analisis terhadap data yang sudah diperoleh. Tujuannya adalah agar masyarakat dapat melihat gambaran jelas terkait data yang diperoleh dan juga memudahkan perangkat Desa untuk mengambil keputusan terkait kebijakan yang akan diambil. Oleh karena itu akan dilakukan pelatihan dan sosialisasi terkait pelatihan analisis data deskriptif bagi perangkat desa di kecamatan Tanjung Raja kabupaten Lampung Utara. Sehingga diharapkan kedepannya gambaran terkait data dapat dipublikasikan dalam bentuk yang mudah untuk dipahami yaitu dengan statistika deskrptif.
Co-Authors Agus Sutrisno Amril Samosir Azis, Dorrah Aziz, Dorrah Faulina, Naflah Irfan, Miftahul Isa Ansori La Zakaria MG Isworo Rukmi Misgiyati Muhammad Luthfi Mustofa Usman Netti Herawat Rizki Agung Wibowo Ruby, Tiryono Saidi, Subian Saputri, Gustina Siti Nur Jannah Sunanto, Rahma Faelasofi Sutrisno, Agus Venelia, Hilda Wardhani Utami Dewi Warsono Warsono Zakaria, La