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Handayani, Vitri Aprilla
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Pelatihan Pengolahan Data Penjualan dan Analisis Tren Pasar Kuliner Seafood Khas Melayu di Kelong Arjam Mentarau Bertuah Hayati, Nahrul; Sulistyono, Eko; Anggraeni, Andini Setyo; Handayani, Vitri Aprilla; Sabarinsyah; Utami, Arli Magfirah; Putri, Tia Aura; Devikaduri, Laras
Jurnal SOLMA Vol. 14 No. 2 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i2.18605

Abstract

Background: Kelong Arjam Mentarau Bertuah, usaha kuliner seafood khas Melayu di Batam, menghadapi kendala dalam pengelolaan data penjualan dan analisis tren pasar yang masih dilakukan secara manual. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan meningkatkan kapasitas mitra melalui pelatihan dan pendampingan berbasis teknologi, khususnya dalam pengolahan data penjualan dan analisis tren pasar, guna meningkatkan efisiensi dan daya saing usaha. Metode: Kegiatan ini dilaksanakan melalui metode pelatihan dan pendampingan, yang mencakup penggunaan aplikasi pengolahan data penjualan (Microsoft Excel), analisis tren pasar, serta simulasi bisnis untuk menguji berbagai skenario strategis. Hasil: Terjadi peningkatan signifikan dalam kemampuan mitra untuk mengelola data penjualan secara digital dan menganalisis tren pasar. Mitra berhasil mengidentifikasi produk favorit dan pelanggan favorit, serta meningkatkan laba bersih melalui simulasi pengurangan biaya operasional. Selain itu, mitra kini mampu merancang strategi pemasaran berbasis data, seperti promosi produk premium dan program loyalitas pelanggan. Kesimpulan: Kegiatan PkM ini berhasil mencapai target dengan meningkatkan efisiensi operasional dan strategi pemasaran mitra. Rekomendasi untuk kegiatan selanjutnya adalah pendampingan jangka panjang, pengembangan sistem loyalitas pelanggan, dan ekspansi pemasaran digital untuk memperluas jangkauan pasar. Dampak kegiatan ini diharapkan dapat menjadi model bagi pengembangan UMKM kuliner lainnya.
ARIMA (p, d, q) Modeling for Predicting Exports of Fresh and Chilled Fish Based on Market Conditions and Main Destination Countries : The Case of Indonesia 2012-2022 Handayani, Vitri Aprilla; Sulistyono, Eko; Sunarsono, Hery; Arafi, Adamsyam; Harahap, Diana Sari
Statistika Vol. 24 No. 1 (2024): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v24i1.3376

Abstract

ABSTRACT Fresh and chilled fish are the largest contributor to Indonesia's fishery product exports, accounting for a share of 45% or around USD 2.2 billion in 2021. The main destination countries for Indonesia's fresh and chilled fish exports include China, the United States, Japan, and other European countries. This research aims to analyze the factors influencing the export value of Indonesia's fresh and chilled fish, as well as to identify and evaluate the ARIMA (p, d, q) model based on historical data from 2012-2022. The result is an ARIMA (4,2,2) model with a MAPE value of 2.208 and a predicted value for the 2023 period of 4351 tons. This is in line with the large exports of fresh fish from Indonesia to various destination countries.
Comparative Analysis: Multiple Regression and Random Forest Regression in Predicting Food Security Index in Indonesia Handayani, Vitri Aprilla; Rahmiati, Sari; Varischa, Bintang; Arrafi, Adamsyam
Journal of Mathematics, Computations and Statistics Vol. 8 No. 2 (2025): Volume 08 Nomor 02 (Oktober 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i2.8593

Abstract

Food security was an important issue influenced by production, access, prices, and socio-economic conditions. In Indonesia, the Food Security Index (IKP) was used as the main indicator. However, prediction methods such as multiple linear regression often failed to capture the complex relationships between variables. Machine learning methods, such as random forest regression, offered a more suitable alternative for non-linear and large-scale data. Nevertheless, few studies in Indonesia compared the effectiveness of these two methods. Therefore, this study aimed to compare the performance of linear regression and random forest in predicting the IKP, in order to support more accurate and sustainable food security planning. The analysis results showed that the forecasting method with better performance in predicting the IKP in Indonesia was Random Forest Regression. This study made a significant contribution by empirically comparing multiple regression and Random Forest in predicting the Food Security Index (IKP) using big data. The results showed that Random Forest performed better in terms of MSE (5.5431) and RMSE (57.7242), indicating higher overall accuracy, while multiple regression had lower MAE (6.0805) and slightly higher R² (68.21%), suggesting more stable predictions and better explanatory power. Random Forest also identified key influencing variables, such as poverty rate and health worker ratio, and provided clearer insights through decision tree visualization. Overall, the findings demonstrated that while no model was entirely dominant, Random Forest offered greater flexibility and predictive strength for complex, large-scale data, supporting its potential use in formulating data-driven food security policies in Indonesia
Environmentally Friendly Bioplastic Derived from Banana Peel (Musa paradisiaca) Waste and Agar-Agar Adhesive: An Experimental Study Employing a Completely Randomized Design (CRD) Devikaduri, Laras; Handayani, Vitri Aprilla
JURNAL SINTAK Vol. 4 No. 1 (2025): SEPTEMBER 2025
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v4i1.712

Abstract

This study aims to develop eco-friendly bioplastics from banana peel (Musa paradisiaca) waste with natural binder agar. The research employed a Completely Randomized Design (CRD) with one factor and three treatment levels of banana peel extract: 15 ml, 30 ml, and 45 ml. Each treatment was replicated three times, with three observed variables: tensile strength, maximum load, and water absorption. The analysis of variance showed that banana peel concentration significantly affected tensile strength and maximum load (p < 0.05), but not water absorption (p > 0.05). Further Duncan’s test indicated that the 30 ml treatment resulted in the best mechanical performance. These findings suggest that a formulation using 30 ml banana peel extract, 1 gram of agar, and 1 ml of glycerol can produce bioplastics with strong mechanical properties. This formulation holds potential as an environmentally friendly alternative to conventional plastics
Robust Panel Data Regression Analysis using the Least Trimmed Squares (LTS) Estimator on Poverty Line Data in Lampung Province Lestari, Windi; Widiarti; Utami, Bernadhita Herindri Samodera; Usman, Mustofa; Handayani, Vitri Aprilla
Integra: Journal of Integrated Mathematics and Computer Science Vol. 1 No. 2 (2024): July
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20241210

Abstract

Robust regression is an alternative method in regression analysis designed to produce stable parameter estimates, even when the data contain outliers or deviate from classical assumptions. One of its estimation techniques, the Least Trimmed Square (LTS),works by minimizing the smallest squared residuals, thereby assigning smaller weights to extreme data points. This method serves as a solution when classical approaches, such as Ordinary Least Squares (OLS), fail to meet the assumptions, especially in socio-economic data that are often complex and prone to outliers. This study employs robust regression with the LTS estimator on panel data to examine the impact of population size , population density , and registered job vacancies on poverty lines in Lampung Province. The data cover 15 districts and cities from 2019 to 2023. The analysis results show that the model obtained has a coefficient of determination of R2=0.8909. This means that the three predictor variables can explain 89.09% of the variation in the poverty line.
Georaphically Weighted Ridge Regression Modelling on 2023 Poverty Indicators Data in the Provinces of West Kalimantan and Central Kalimantan Anjani, Syarli Dita; Widiarti; Utami, Bernadhita Herindri Samodera; Usman, Mustofa; Handayani, Vitri Aprilla
Integra: Journal of Integrated Mathematics and Computer Science Vol. 1 No. 3 (2024): November
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20241320

Abstract

Regression analysis is a method to explain the relations between independent variables and a dependent variable. Linear regression analysis relies on certain assumptions, one of the assumption is homogeneity. However, there is a situation when the variance at each observation differs or called spatial heterogeneity.This issue can be solved using Geographically Weighted Regression (GWR), a statistical method that can be fixed spatial heterogeneity by adding a local weighted matrix, the result in GWR model is a local model for each observation point. However, GWR has a limitation, it cannot handle multicollinearity. Ridge regression is a method used to solved multicollinearity by adding a bias constant (λ). A GWR model that contains multicollinearity and fixed using ridge regression is known as Geographically Weighted Ridge Regression (GWRR).
Multidimensional Log-Linear Modeling (Case Study: Gender, Age, Head Circumference, and Nutritional Status Among Early Childhood Children) Yoka, Ranara Athalla; Usman, Mustofa; Chasanah, Siti Laelatul; Widiarti; Handayani, Vitri Aprilla
Integra: Journal of Integrated Mathematics and Computer Science Vol. 2 No. 2 (2025): July
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20252228

Abstract

Poor nutritional status tends to increase the risk of morbidity and mortality among children in developing countries. Therefore, data on these rates can be an important indicator in describing the condition of undernutrition in a community. Log-linear model analysis can be used to categorize data on nutritional status. Based on data obtained from the Rajabasa Indah Health Center area, Rajabasa Subdistrict, Bandar Lampung City, there are 418 children who have examined at the Posyandu. The analysis model conducted in this study involves four variables, each variable is categorized into several categories according to predetermined criteria. Gender with two categories (male and female), age with two categories (1-12 months and 13-60 months), head circumference with two categories (normal and abnormal), and nutritional status with three categories (undernourished, well-nourished, and overnourished). This study aims to determine the best model using log-linear analysis that can explain the relationship between the four variables. The results obtained are the best model for the data involved in the [UG][LG][J] structure, the structure describes the interaction between age and nutritional status and head circumference and nutritional status.
DATA EXPLORATION OF MARINE CULTIVATION TYPES USING CLUSTER ANALYSIS WITH COMPLETE-LINKAGE METHOD Handayani, Vitri Aprilla; Sulistyono, Eko; Hernando, Luki; Majiid, Arsyil; Sunarsono, Hery
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 10 No. 1 (2023): Desember 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i1.2728

Abstract

Abstract: that the number of catches obtained by fishermen is more optimal. With secondary data based on the type of cultivation developed by fishing communities, the authors intend to explore this data so that they can examine more deeply the most effective types of cultivation using analysis of variance to find out the differences between each type of cultivation and cluster analysis using the complete linkage method. to find out the grouping of marine culture production based on the types developed by fishing communities in Indonesia. The correlation between the observed variables is 0.008, so it can be said that there is no relationship between the observed variables. In addition, the sig. and t-test. sig value is obtained. > α (5% = 0.05). This means that there is a significant average difference in fish production results based on the type of cultivation developed by fishing communities. With the grouping of types of marine cultivation developed by the Wesleyan community using the complete-linkage method, they are divided into 3 groups based on the degree of similarity in the production results obtained. Cluster 1 consists of Floating Nets, and Pools; Cluster 2 consists of other seas, seaweed, cages, and fishing nets; and Cluster 3 consists of Fresh Floating Nets, Minapadi, and Ponds.            Keywords: Complete-Linkage; Fish Production; Mariculture; Multivariate Analysis; T-test;  Abstrak: Berdasarkan penelitian sebelumnya pada analisis variansi untuk menguji perbedaan rata-rata pada masing-masing perlauan peletakan sudut jarring agar jumlah tangkapan yang diperoleh nelayan lebih optimal. Dengan adanya data sekunder berdasarkan jenis budidaya yang dikembangkan masyarakat nelayan, penulis bermasksud untuk melakukan eksplorasi pada data tersebut agar dapat mengkaji lebih dalam terhadap jenis budidaya yang paling efektif dengan analisis variansi untuk mengetahu perbedaan dari masing-masing jenis budidaya serta analisis cluster dengan metode complate linkage untuk mengetahui adanya pengelompokan hasil produksi bududaya laut berdasarkan jenis yang dikembangkan oleh masyarakat nelayan di Indonesia. Korelasi antar variabel yang diamati sebesar 0.008, maka dapat dikatakan bahwa tidak ada hubungan antara variabel yang diamati. Selain itu, hasil uji sig. dan uji t. diperoleh nilai sig. > α (5% = 0.05). Artinya, terdapat perbedaan rata-rata secara signifikan hasil produksi ikan berdasarkan jenis budidaya yang dikembangkan oleh masyarakat nelayan. Dengan adanya pengelompokan jenis budidaya laut yang dikembangkan oleh masyarakat neleyan dengan metode complete-linkage terbagi atas 3 kelompok berdasarkan tingkat kemiripan hasil produksi yang diperoleh. Cluster 1 terdiri dari Jaring Apung, Kolam; Cluster 2 terdiri dari Laut lainnya, Rumput laut, Keramba, Jaring Tancap; dan Cluster 3 terdiri dari Jaring Apung Tawar, Minapadi, Tambak. Kata kunci: Analisis Multivariate; Budidaya Laut; Complate-Linkage; Produksi Ikan; Uji-t;
Pelatihan Pembuatan Sabun Padat Dengan Penamabahan Ekstrak Rumput Laut Di Smk Nam Al-Mulk Batam Rahmiati, Sari; Hazimah, Hazimah; Sunarsono, Hery; Handayani, Vitri Aprilla; Sulistyono, Eko; Alhamidi, Alhamidi; Auwalia, Farda; Azhari, Fiqri Ardi
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 6 No. 4 (2023): Oktober 2023
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v6i4.2817

Abstract

NAM Al-Mulk Vocational School is one of the Islamic-based vocational schools. In this school, there is learning about making appropriate products that can be used as entrepreneurial learning. However, there is still no education on product creation that can be used as an entrepreneurial object that can be utilized for everyday economic needs. This service activity aims to provide training for NAM Al-Mulk Vocational School students in making solid soap that is safe for health and environmentally friendly. Solid soap is made by adding seaweed extract which has a multitude of benefits, one of which is to help moisturize the skin and treat irritation. The methods used are lectures, discussions, and direct practice during training. The results of the service received a good response from the participants based on the questionnaire results after the training, 75% of the training participants were satisfied with the soap-making training with the addition of seaweed extract because it met the participants' expectations. The results of ANOVA with Sig support this. equal to 0.000 < 0.05, it means that there is a difference in the average understanding of service participants before and after being given training in making solid soap with seaweed extract.            Keywords: solid soap; seaweed extract; enterpreneurship  Abstrak: Sekolah SMK NAM Al-Mulk merupakan salah satu sekolah SMK yang berbasis islam. Di sekolah ini terdapat pembelajaran mengenai pembuatan produk tepat guna yang dapat digunakan sebagai pembelajaran wirausaha. Namun, masih belum ada edukasi pembuatan pruduk yang bisa dijadikan sebagai objek berwirausaha yang dapat dimanfaatkan untuk kebutuhan sehari-hari yang bernilai ekonomi. Kegiatan pengabdian ini bertujuan memberikan pelatihan bagi siswa SMK NAM Al-Mulk dalam pembuatan sabun padat yang aman bagi kesehatan dan ramah lingkungan. Sabun padat yang dibuat dengan menambahkan ekstrak rumput laut yang memiliki segudang manfaat salah satunya untuk membantu melembabkan kulit dan mengatasi iritasi. Metode yang digunakan yakni ceramah, diskusi dan melakukan praktek langsung saat pelatihan. Hasil dari pengabdian mendapatkan tanggapan yang baik dari peserta berdasarkan hasil kuesioner setelah pelatihan sebesar 75% yaitu peserta pelatihan merasa puas dengan pelatihan pembuatan sabun dengan penambahan ekstrak rumput laut karena sesuai dengan harapan peserta. Hal ini didukung dengan hasil ANOVA dengan Sig. sebesar 0.000 < 0.05 maka dapat diartikan terdapat perbedaan rata-rata pemahaman peserta pengabdi sebelum dan sesudah diberikan pelatihan pembuatan sabun padat dengan ekstrak rumput laut. Kata kunci: ekstrak rumput laut; produk tepat guna; sabun padat
Penguraian Mekanisme Kerja Jamu Berdasarkan Jejaring Bahan Aktif-Protein Target-Gene Ontology Handayani, Vitri Aprilla; Afendi, Farit Mochamad; Kusuma, Wisnu Ananta
Jurnal Jamu Indonesia Vol. 1 No. 3 (2016): Jurnal Jamu Indonesia
Publisher : Tropical Biopharmaca Research Center, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jji.v1i3.21

Abstract

Jamu merupakan obat tradisional Indonesia. Pada dasarnya obat herbal yang dibuat dari bahan-bahan alami yang diambil dari beberapa bagian dari tanaman obat yang mengandung beberapa zat dan senyawa yang penting dan bermanfaat bagi tubuh. Sejauh ini, khasiat untuk beberapa jenis jamu secara empiris telah terbukti. Dalam peneitian ini, kami bermaksud untuk menguraikan mekanisme kerja jamu menggunakan pendekatan komputasi. Penelitian ini berfokus pada ramuan jamu type 2 diabetesyang terdiri dari empat tanaman, yaitu: jahe, bratawali, sembung, dan pare. Kerangka analisis awal dengan membentuk 3 komponen jejaring yang terdiri dari: (1) bahan aktif tanaman (diperoleh dari Knapsack: 58 senyawa aktif), (2) protein target (diperoeh dari database pubchem: 416 protein target), dan (3) gene ontoogy(diperoeh dari database DAVID: 3104 GO). Selanjutnya, kami menerapkan analisis klaster-klasterdengan menggunakan konsep graf tri-partite. Graf tri-partite digunakan untuk mengelompokkan komponen-komponen penyusun jejaring dari empat tanaman yang disebutkandiatas, sehingga diperoleh system bagian-bagian penyusun ramuan jamu. Hal ini dilakukan untuk mengungkapkan mekanisme kerja jamu. Menggunakan metode fuzzy clustering pada data jejaring, kami memperoleh 15 senyawa aktif yang diduga potensial sebagai antidiabetes berada dalam kelompok berbeda. Pada 15 senyawa aktif memiliki nilai peluang cukup tinggi terbagi dalam kelompok yang berbeda, setiap kelompok terdiri dari pasangan bahan aktif yang memiliki efek sinergis tinggi. Berdasarkan koneksi antara klaster-klasterprotein dan GO-BP, penelitianini memperoleh informasi protein-protein yang menyebabkan T2D dan mekanisme proses biologis yang terkait. T2D bukan hanya disebabkan oleh protein kelainan sekresi insulin (insulin-merendahkan enzim isoform 1) saja, tetapi juga disebabkan oleh protein lain yang terlibat dalam penghambatan insulin di pankreas.
Co-Authors Alhamidi, Alhamidi Anggraeni, Andini Setyo Anjani, Syarli Dita Arafi, Adamsyam Arrafi, Adamsyam Auwalia, Farda Azhari, Fiqri Ardi Azzahra, Nabila Betricia , Jesicca candra, joni eka Devikaduri, Laras Eko Sulistyono Eko Sulistyono Sulistyono Farit Mochamad Afendi Harahap, Diana Sari Hazimah, Hazimah Hernando, Luki Irianto, Ardhiya Syifa Islamiati, Dian Jonathan, Steven Lestari, Windi Lilies Handayani Lunardi, Louis Majiid, Arsyil Mardiansyah, Yopy Muhammad Agus Muljanto Mulyono Mulyono Mustofa Usman Nahrul Hayati Nur Asikin Okti, Herpina Putri, Tia Aura Rahayu , Sri Rahmad Rahmad Rahmiati, Sari Sabarinsyah, Sabarinsyah Sabrina, Nadia Sadiq Ardo Wibowo, Sadiq Ardo Sari Rahmiati Sembiring, Rinawati Sihombing, Urianto Siti Laelatul Chasanah, Siti Laelatul Sunarsono, Hery Taufiq Rahman Tuto Bakang, Clarita Utama, Rifki Chandra Utami, Arli Magfirah Utami, Bernadhita Herindri Samodera Utami, Bulan Purnama Varischa, Bintang Wasiru, Moh. Arafat Widiarti Widya Reza Wisnu Ananta Kusuma Yoka, Ranara Athalla