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All Journal Natural Science: Journal of Science and Technology Statistika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Bulletin of Electrical Engineering and Informatics IJoICT (International Journal on Information and Communication Technology) BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Aplikasi Statistika & Komputasi Statistik SANITAS: Jurnal Teknologi dan Seni Kesehatan Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of System and Computer Engineering Parameter: Journal of Statistics Asian Journal of Philosophy and Religion Jurnal Sintak STATISTIKA Journal of Waqf and Islamic Economic Philanthropy Journal of Regional Economics and Development Tadulako Science and Technology Journal Tadulako Social Science and Humaniora Journal
Lilies Handayani
Department Of Statistics, Faculty Of Mathematics And Natural Sciences, Tadulako University, Central Sulawesi, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation

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Web-based Application for Diagnosis of Diabetes using Learning Vector Quantization (LVQ) Juni Wijayanti Puspita; Kevin Jieventius Yanto; Andi Moh. Ridho Pettalolo; Moh. Ali Akbar Dg. Matona; Handayani Lilies
International Journal on Information and Communication Technology (IJoICT) Vol. 10 No. 1 (2024): Vol. 10 No.1 June 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v10i1.941

Abstract

Diabetes is a chronic disease that causes the most deaths in the world. This disease can cause long-term complications that develop gradually, such as heart attacks, strokes, and problems with the kidneys, eyes, skin, and blood vessels. Therefore, early diagnosis of diabetes is crucial for patients to know their diabetes status. In this study, we designed a web-based application for diabetes diagnosis using Learning Vector Quantization (LVQ). The dataset was collected from Kaggle's Diabetes Dataset which contains eight attributes, namely pregnancy, glucose, blood pressure, insulin, skin thickness, BMI, diabetes lineage function, and age, with two classes, namely negative diabetes (healthy) and positive diabetes. The results show that the best accuracy is 73.1% with a learning rate of 0.001. These findings can help patients detect diabetes problems early.
The Impact of Online Sales on The Sustainability of Conventional Traders in Sekupang District, Batam City Harahap, Diana Sari; Betricia , Jesicca; Rahayu , Sri; Jonathan, Steven; Sihombing, Urianto; Handayani, Vitri Aprilla; Handayani, Lilies
JURNAL SINTAK Vol. 2 No. 2 (2024): Vol. 2 No. 2 (2024): MARET 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v2i2.243

Abstract

Pedagang konvensional adalah individu atau kelompok yang sedang berada di suatu lokasi terbuka terjadi kegiatan transaksi jual beli dengan memungkinkan proses tawar-menawar. Dengan zaman yang semakin modern keberlanjutan pedagang konvensional dapat dipengaruhi dengan adanya penjualan online. Oleh karena itu penulis tertarik untuk melakukan penelitian untuk mengetahui seberapa besar pengaruh adanya penjualan online terhadap keberlanjutan pedagang konvensional di kecamatan Sekupang kota Batam. Metode penelitian yang digunakan adalah metode kuantitatif dengan teknik pengambilan data yaitu data primer melalui kuisioner. Metode analisa data dilakukan dengan menggunakan uji statistik regresi linear sederhana. Berdasarkan analisis data yang telah dilakukan diketahui adanya penjualan online mempengaruhi keberlanjutan pedagang konvensional di kecamatan Sekupang kota Batam.
Analysis of the Influence Islamic Branding on the Intention of the Community in Gowa District to Become Customers of Bank Syariah Indonesia (BSI) Akib, Baso; Nur, Apriyansyah; Handayani, Lilies
Journal of Waqf and Islamic Economic Philanthropy Vol. 1 No. 1 (2023): November
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/wiep.v1i1.38

Abstract

The research is aimed at: (1) knowing the influence of Islamic branding on public interest in becoming a customer at BSI Branch Gowa; (2) finding out the impact of Shariah financial literature on the interest of the public being a customer at BSI Gowa Branch; (3) knowing about the effect of service quality on the public's interest in becoming a customer; and (4) learning about the influences of Muslim branding, shariah finance literature, and service quality on public interest in becoming a client at BSI Branch Gowa. This type of research is quantitative and descriptive. The data used is primary data. Primary data is collected using questionnaires, observations, and documentation. double-linear regression test analysis method. Sampling is a simple, random sampling technique. The sample used as many as 80 respondents, and data analysis was done using IBM SPSS 28. The results of this study show that: (1) Islamic branding has no positive and non-significant influence on public interest in BSI Gowa Branch; (2) Shariah financial literacy has a positive and significant influence upon public interest to become a customer of BSI Gowa Branch; (3) Service quality has a negative and significant impact on the interest of the public in becoming a customer; and (4) Islamic branding, Sharial literature, and Service quality have a positive and significant effect on the public's interest in being a customer at BSI Gowa Branch. Implications in this study are that Islamic branding has become an early reflection of BSI Gowa branch operating in accordance with the principle of shariah, even though the public is not fully aware of this. A high level of understanding of the sharial financial literature can give a boost to the public, especially about BSI Gwang Gowa branch, and good service quality is able to have a positive impact on the development of BSI Gowa branches.
Influence of product quality and halal labels on consumer interest in Aira Bulukumba Beauty Clinic Handayani, Lilies; Nurhazanah, Andi Cahyatri
Journal of Waqf and Islamic Economic Philanthropy Vol. 1 No. 1 (2023): November
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/wiep.v1i1.50

Abstract

The objective of this study is to investigate the influence of product quality and labeling on consumer interest in Aira Bulukumba Beauty Clinic. The research methodology employed in this study is quantitative research. The research used primary data, which was collected through the use of questionnaires as the data gathering approach. The approach employed for the analysis of the double linear regression test. The demographic under investigation in this research comprises individuals who identify as Muslim, with a particular focus on the community residing in Bulukumba. The sample utilized in this study comprises a whole population of 50 participants. Data analysis approaches were employed utilizing the SPSS software version 2021. The findings of this study indicate a noteworthy correlation between the quality of the product and consumer interest, so confirming the acceptance of hypothesis H1. The halal certification exerts a significant impact on customer preferences and choices. This suggests that the acceptance of H2 is supported. The acceptability of H3 has a major influence on both the color of the product and the presence of a halal label. The findings of the aforementioned study indicate that the attention of consumers in Aira Bulukumba Beauty Clinic is significantly influenced by the quality of products and the presence of a halal label.
Faktor-faktor yang Mempengaruhi Pembiayaan Mudharabah pada Bank Umum Syariah yang Terdaftar di OJK Handayani, Lilies; Rauf, Wahidah
Journal of Waqf and Islamic Economic Philanthropy Vol. 1 No. 2 (2024): February
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/wiep.v1i2.148

Abstract

Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh BOPO terhadap pembiayaan mudharabah pada OJK (Studi kasus BUS), untuk mengetahui dan menganalisis pengaruh ROA terhadap pembiayaan mudharabah pada OJK (Studi kasus BUS), untuk mengetahui dan menganalisis pengaruh BOPO dan ROA terhadap pembiayaan mudharabah pada OJK (Studi kasus BUS). Waktu penelitian dilakukan pada bulan Juni  2023 sampai dengan Agustus 2023. Jenis penelitian kuantitatif dengan pendekatan deskriptif kuantitatif. Sumber data yang digunakan adalah data sekunder. Populasi yang digunakan yaitu laporan keuangan bulanan lengkap dengan yang diterbitkan oleh BUS yang terdaftar di OJK. Sampel yang digunakan sebanyak 37 sampel. Teknik yang digunakan non probality sampling. Metode analisis data menggunakan analisis regresi linear berganda. Hasil penelitian ini menunjukkan bahwa secara parsial BOPO tidak memiliki pengaruh signifikan terhadap pembiayaan mudharabah pada OJK (Studi kasus BUS). Secara parsial ROA memiliki pengaruh signifikan terhadap pembiayaan mudharabah pada OJK (Studi kasus BUS) dan 3) secara simultan BOPO dan ROA berpengaruh signifikan terhadap pembiayaan mudharabah pada OJK (Studi kasus BUS). Berdasarkan hasil penelitian di atas, implikasi penelitian ini menunjukkan BOPO yang memiliki pengaruh terhadap pembiayan mudharabah sedangkan ROA tidak memiliki pengaruh terhadap pembiayaan mudharabah.
1D and 2D Feature Extraction Based on AAC and DC Protein Descriptors for Classification of Acetylation in Lysine Proteins using Convolutional Neural Network Faisal, Mohammad Reza; Adawiyah, Laila; Saragih, Triando Hamonangan; kartini, Dwi; Herteno, Rudy; Lumbanraja, Favorisen Rosyking; Handayani, Lilies; Solechah, Siti Aisyah
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 6 No 4 (2024): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v6i4.458

Abstract

Post-Translational Modification (PTM) denotes a biochemical alteration observed in an amino acid, playing crucial roles in protein activity, functionality, and the regulation of protein structure. The recognition of associated PTMs serves as a fundamental basis for understanding biological processes, therapeutic interventions for diseases, and the development of pharmaceutical agents. Using computational approaches (in silico) offers an efficient and cost-effective means to identify PTM sites swiftly. The exploration of protein classification commences with extracting protein sequence features that are subsequently transformed into numerical features for utilization in classification algorithms. Feature extraction methodologies involve using protein descriptors like Amino Acid Composition (AAC) and Dipeptide Composition (DC). Yet, these approaches exhibit a limitation by neglecting crucial amino acid sequence details. Moreover, both descriptor techniques generate a limited number of 1-dimensional (1D) features, which may not be ideal for processing through the Convolutional Neural Network (CNN) classification method. This investigation presents a novel approach to enhance feature diversity through protein sequence segmentation techniques, employing adjacent and overlapping segment strategies. Furthermore, the study illustrates the organization of features into 1D and 2D formats to facilitate processing through 1D CNN and 2D CNN classification methodologies. The findings of this research endeavour highlight the potential for enhancing the accuracy of acetylation classification in lysine proteins through the multiplication of protein sequence segments in a 2D configuration. The highest accuracy achieved for AAC and DC-based feature extraction methods is 77.39% and 76.75%, respectively.
Fructose and Its Impact on Uric Acid Levels in Humans: A Systematic Review and Meta-Analysis of Clinical Trials from PubMed Database Baharuddin, Baharuddin; Handayani, Lilies
SANITAS: Jurnal Teknologi dan Seni Kesehatan Vol 15 No 2 (2024): SANITAS Volume 15 Nomor 2 Tahun 2024
Publisher : Politeknik Kesehatan Kemenkes Jakarta II

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36525/sanitas.2024.507

Abstract

Worldwide fructose consumption continues to increase annually. It is well-established that high-dose fructose consumption can lead to metabolic disorders in humans. One of the indicators affected is uric acid, with several studies reporting increased uric acid levels following fructose intake. This study employs a systematic literature review and meta-analysis approach. We conducted a literature search exclusively in the PubMed database using keywords related to hyperuricemia, uric acid, fructose, and human health. The search was based on the PICO strategy: human health (population), fructose (intervention), glucose (comparison), uric acid (outcome). Nine eligible documents were analyzed for meta-analysis out of 81 documents retrieved from the PubMed database. Based on the Random Effects model (RE), the Standardized Mean Difference (SMD) value was -0.37 (95% CI; -1.34 to 0.59). The RE value crosses the vertical 0 line. Across various clinical studies, fructose consumption did not significantly show negative effects. Although some studies demonstrated dynamic changes, they remained within the normal range. However, these conclusions cannot be directly generalized due to limited knowledge on the long-term effects of fructose. Additionally, aspects such as dosage, duration, type of fructose, anthropometry, and subject characteristics need further attention and analysis in each fructose-related study, as they may be significant factors contributing to variations in study outcomes.
The Influence of Productive Zakat Funds and Technology on the Level of Profit of Mustahik Businesses (Case Study on Baznas Makassar City) Handayani, Lilies; Hartas Hasbi; Suriani Jihad; Aryandi
Asian Journal of Philosophy and Religion Vol. 2 No. 2 (2023): October 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajpr.v2i2.8542

Abstract

The purpose of this study was to (1) determine the effect of productive zakat funds on the level of profit of mustahik businesses at Baznas Makassar City. (2) To determine the effect of technology on the level of profit of mustahik businesses at Baznas Makassar City. (3) To determine the effect of productive zakat funds and technology on the level of mustahik business profits at Baznas Makassar City.This type of research is descriptive quantitative using questionnaire, interview, and documentation methods in data collection. The population in this study were all members of the productive zakat fund recipients of Baznas Makassar City as many as 30 people. This study uses saturated sampling techniques in determining the sample, where all population numbers are used as research samples. The results of the study showed that the variables of Productive Zakat Funds and Technology both partially and simultaneously had a positive and significant influence on the Mustahik Business Profit Level at Baznas Makassar City.The implication of this research is that productive zakat funds affect the level of profit of mustahik businesses, as well as technology also affects the increase in profits in businesses run by mustahik.
Pembelian Properti Syariah di PT. Al Fath Land Ditinjau dari Pendapatan, Islamic Brand Image dan Preferensi Konsumen Handayani, Lilies; Risnawati, Risnawati
Journal of Regional Economics and Development Vol. 1 No. 2 (2024): February
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jred.v1i2.146

Abstract

Penelitian ini bertujuan untuk mendeskripsikan pengaruh secara parsial pendapatan, Islamic brand image dan preferensi konsumen terhadap keputusan pembelian Properti Syariah pada PT. Al Fath Land, mendeskripsikan pengaruh secara simultan pendapatan, Islamic brand image dan preferensi konsumen terhadap keputusan pembelian Properti Syariah pada PT. Al Fath Land. Waktu penelitian ini dilakukan pada bulan Juli 2023 hingga Agustus 2023. Jenis penelitian kuantitatif dengan pendekatan deskriptif kuantitatif. Data yang digunakan adalah bersumber dari data primer. Sampel data yang digunakan sebanyak 70 sampel dengan metode purposive sampling. Metode analisis yang digunakan adalah analisis regresi linear berganda dan teknik analisis data menggunakan aplikasi IBM SPSS version 20. Hasil penelitian ini menunjukkan bahwa secara parsial pendapatan tidak berpengaruh terhadap keputusan pembelian properti syariah pada PT. Al Fath Land, secara parsial Islamic brand image berpengaruh positif dan signifikan terhadap keputusan pembelian properti syariah pada PT. Al Fath Land, secara parsial preferensi konsumen berpengaruh positif dan signifikan terhadap keputusan pembelian properti syariah pada PT. Al Fath Land, secara simultan pendapatan, Islamic brand image dan preferensi konsumen berpengaruh positif dan signifikan terhadap keputusan pembelian properti syariah pada PT. Al Fath Land. Berdasarkan hasil penelitian di atas, implikasi pada penelitian ini menunjukkan bahwa varibel pendapatan, Islamic brand image dan preferensi konsumen memberikan kontribusi terhadap keputusan konsumen melakukan pembelian dan memberikan dampak yang baik untuk meningkatkan user pada PT. Al Fath Land.
Application of Simple Moving Average in Predicting Operational Expenditure at PT. Tri Tunas Unggul Lunardi, Louis; Hayati, Nahrul; Handayani, Lilies
JURNAL SINTAK Vol. 3 No. 2 (2025): MARET 2025
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v3i2.555

Abstract

This research aims to analyze and predict operational expenditure patterns at PT. Tri Tunas Unggul using the Simple Moving Average (SMA) method. The research data consists of daily operational expenditure records from July to October 2024. The analysis employs two SMA periods, 7-day and 30-day intervals, to identify both short-term and long-term expenditure trends. The results show that the 7-day SMA provides more responsive tracking of changes in daily expenditures, while the 30-day SMA reveals more stable long-term trends. The analysis identifies three significant peaks in the 7-day SMA in early August, late September, and mid-October, indicating cyclical spending patterns. This research demonstrates that the SMA method can be effectively utilized as a financial analysis tool to support decision-making in managing operational costs and investment strategies at PT. Tri Tunas Unggul.
Co-Authors Adawiyah, Laila Afifa Afifa Agatha Sora Kedoh Amelia, Rezi Andi Faidilah Andi Moh. Ridho Pettalolo Anisa Anggraeni, Anisa Aryandi Audina Dariah, Priliany Ayudita Rahmi Aristya Baharuddin Baharuddin Baso Akib Betricia , Jesicca Dg. Matona, Moh. Ali Akbar Dwi Kartini, Dwi Emiliani Ni Luh Fatma Indriani Fuad Zubaidi Handayani, Vitri Aprilla Harahap, Diana Sari Hartas Hasbi Ihlasia, Nurmasyita Irwan Budiman Islami, Mira Bela Jassinca Chrissma Audina Jonathan, Steven Juni Wijayanti Puspita Juni Wijayanti Puspita Kadoena, Faldi Christiawan Kevin Jieventius Yanto Lumbanraja, Favorisen R Lunardi, Louis Madinawati Mangitung, Septina F. Moh. Ali Akbar Dg. Matona Moh. Jusman Mohammad Fajri Muhammad Akriyaldi Masdin Muhammad Reza Faisal, Muhammad Reza Nahrul Hayati Ni Luh Putu Astuti Dewi Ariani Nur Azizah Janad Nur Cahyani Nur Fadillah, Nur Nur Sakinah Nur'eni Nur, Apriyansyah Nureni, Nureni Nurfitra Nurhazanah, Andi Cahyatri Nursyahraini Husen Nur’eni Nur’eni Pettalolo, Andi Moh. Ridho Putera, Fachruddin Hari Anggara Rachman, Rohis Rahayu , Sri Rais Rais Rais Rauf, Wahidah Risnawati Risnawati Rudy Herteno Sagap, Marni Salmia Saragih, Triando Hamonangan Saskia Amalia Putri septyani kawuwung Sihombing, Urianto Siti Aisyah Solechah Suriani Jihad Surni’a Surni’a Wahyuni, Selvia Anggun Yanto, Kevin Jieventius Yudy Novindri Tadale