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All Journal Science and Technology Indonesia Jurnal Ekuivalensi Jurnal Sistem Komputer dan Informatika (JSON) Investasi : Inovasi Jurnal Ekonomi Dan Akuntansi
Wiyono, Tri
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Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Library & Information Science Materials Science & Nanotechnology Physics Social Sciences

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Metabolic Profiling, Antioxidant, and Anti-lipase Activity from Combined Leaves Extracts of Tamarindus indica and Murraya paniculata: A Simplex Lattice Design Approach Sholikhah, Eti Nurwening; Wiyono, Tri; Pratiwi, Woro Rukmi
Science and Technology Indonesia Vol. 9 No. 4 (2024): October
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2024.9.4.828-839

Abstract

Tamarindus indica leaves are recognized for their potent antioxidant and hypolipidemic properties, whereas Murraya paniculata leaves are known for their abilities to lower lipids and glucose levels. This study aimed to assess the combined extract of both leaves against pancreatic lipase inhibition and analyze their metabolomic profiles as an initial step toward developing a polyherbal treatment for hypertriglyceridemia. The extracts were subjected to Liquid Chromatography-High Resolution Mass Spectrometer (LC-HRMS) untargeted system coupled with Compounds Discoverer software to reveal their metabolomic profile. Subsequently, both individual extracts and their combination were evaluated for anti-lipase activity using pancreatic lipase enzyme with p-nitrophenyl butyrate as the substrate. The combination of the two extracts (0-300 μg/mL, 300 μg/mL in total) was prepared following the Simplex Lattice Experimental Design with 5 different composition variations. Results: The findings indicated that Tamarindus indica leaf extract (TIE) predominantly exhibited lipase inhibitory activity. Interestingly, the addition of Murraya paniculata extract (MPE) diminished this enzyme inhibitory effect. TIE was found to be rich in polyhydroxy flavonoids followed by fatty amides, whereas MPE contained mainly polymethoxy flavonoids, fatty amides, and coumarins. The presence of fatty amides in both extracts was identified as a potential cause for this incompatibility. In summary, Tamarindus indica leaf extract demonstrated strong lipase inhibition; however, its effectiveness was reduced when combined with Murraya paniculata extract, possibly due to primary fatty amides. Further research is necessary to explore strategies for eliminating these compounds and confirming their impact in vivo.
Pengaruh Bauran Pemasaran Terhadap Loyalitas Konsumen melalui Kepuasan (Studi Kasus: Konsumen Produk Kahf di Malang) Wiyono, Tri; Laely, Nur; Djunaedi
JURNAL EKUIVALENSI Vol. 9 No. 2 (2023): JURNAL EKUIVALENSI
Publisher : LPPM dan Fakultas Ekonomi dan Bisnis Universitas Kahuripan Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51158/w18mee31

Abstract

Kahf, merek perawatan pribadi untuk pria, telah berhasil menarik perhatian konsumen di Malang dan mempertahankan loyalitas konsumen melalui kualitas produk dan layanan yang baik. Namun, belum ada data mengenai pengaruh Marketing Mix terhadap loyalitas dan kepuasan konsumen pada produk Kahf di Malang. Oleh karena itu, penelitian ini bertujuan untuk merancang model intervening dari pengaruh Bauran Pemasaran terhadap Loyalitas Konsumen melalui Kepuasan Konsumen Produk Kahf di Malang. Penelitian ini menggunakan desain penelitian kuantitatif dengan model intervening pada variabel tersebut. Hasil penelitian menunjukkan bahwa faktor-faktor Marketing Mix seperti produk, harga, promosi, dan distribusi memiliki pengaruh signifikan terhadap loyalitas dan kepuasan konsumen terhadap produk Kahf di Malang. Selain itu, kepuasan konsumen juga memiliki pengaruh positif dan signifikan terhadap loyalitas konsumen terhadap produk Kahf. Perusahaan perlu mengoptimalkan faktor-faktor bauran pemasaran dan memeriksa serta memperbaiki tingkat kepuasan konsumen agar dapat mempertahankan dan meningkatkan loyalitas konsumen. Penelitian ini memberikan pandangan baru kepada perusahaan dalam mengoptimalkan bauran pemasaran mendorong loyalitas konsumen melalui kepuasan produk, serta memberikan saran untuk meningkatkan kualitas dan inovasi produk serta memperbaiki kualitas layanan selama proses penjualan dan purna jual untuk mempertahankan dan meningkatkan pangsa pasar produk di kalangan konsumen di Malang.
Pengaruh Disiplin Kerja Dan Keselamatan Dan Kesehatan Kerja (K3) Terhadap Kinerja Karyawan PT. KMK Global Sport K1 Wiyono, Tri; Lestari, Nurhilah; Aks, Safriadi M Yunus
INVESTASI : Inovasi Jurnal Ekonomi dan Akuntansi Vol. 3 No. 1 (2025): Artikel Penelitian
Publisher : Soratekno Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59696/investasi.v3i1.92

Abstract

KMK Global Sport K1 Tangerang, particularly in the production department, work-related accidents have fluctuated over the past year. One of the contributing factors to these accidents is the lack of employee awareness regarding the importance of work discipline, which has led to a loss of workdays due to these accidents. This, in turn, has resulted in decreased employee performance. This study aims to examine the impact of work discipline and occupational health and safety (K3) on employee performance at PT. KMK Global Sport K1 Tangerang. This research is a quantitative study. The population of this research consists of 93 production employees at PT. KMK Global Sport K1 Tangerang. The sample was determined using the Slovin method, resulting in 76 employees. The data used in this study is primary data, collected through questionnaires distributed to the respondents. The primary data was processed using the Statistical Package for Social Science (SPSS) with simple regression analysis and path analysis methods. Simple regression analysis is used to test the direct relationship between variables, while path analysis is used to test the indirect relationship between the research variables. The results of the multiple regression calculations yielded the equation Y = 4.024 + 0.452 (X1) + 0.306 (X2), which means that if the constant value is 4.024, and the independent variables of work discipline (X1) and occupational health and safety (K3) (X2) are both 0, the employee performance (Y), as the dependent variable, will be 4.024 units. Based on the results of the research, it is shown that work discipline has a positive and significant effect on occupational health and safety (K3), work discipline has a positive and significant effect on employee performance, and occupational health and safety (K3) has a positive and significant effect on employee performance. Furthermore, work discipline has a positive and significant direct effect on performance through occupational health and safety (K3).
Deteksi Malware Berbasiskan Analisis Statis Menggunakan Algoritma Convolutional Neural Network (CNN) Wiyono, Tri; Hadinata, Edrian; Zakir, Ahmad; Elhanafi, Andi Marwan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 1 (2025): September 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i1.8946

Abstract

Sistem informasi berperan penting dalam menjaga kelancaran operasional organisasi sekaligus melindungi data dari ancaman siber, termasuk malware. Pertumbuhan akses internet di Indonesia yang mencapai lebih dari 215 juta pengguna pada 2023 dan penetrasi smartphone Android sebesar 132,7 juta pada 2025 meningkatkan potensi risiko keamanan. Rendahnya kesadaran pengguna Android terhadap keamanan informasi (rata-rata 37%) menjadi faktor dominan munculnya insiden spam, phishing, dan malware. Dalam konteks ini, analisis statis menjadi salah satu pendekatan efektif untuk mendeteksi malware melalui izin aplikasi (permissions) yang tertera pada file AndroidManifest.xml. Namun, kelemahannya terletak pada keterbatasan mendeteksi kode berteknik obfuscation. Penelitian ini mengembangkan model deteksi malware berbasis Convolutional Neural Network (CNN) dengan memanfaatkan fitur statis APK. Dataset yang digunakan mencakup aplikasi berbahaya seperti Undangan Pernikahan.apk serta data publik dari Kaggle. Proses meliputi ekstraksi izin aplikasi, normalisasi, pembentukan vektor 256 fitur, serta klasifikasi biner malware dan benignware. Hasil uji menunjukkan akurasi 92% dengan precision tinggi (0,93) namun recall pada malware relatif rendah (0,77), mengindikasikan masih adanya false negative signifikan. Temuan ini menegaskan bahwa CNN efektif untuk deteksi berbasis izin, tetapi peningkatan recall diperlukan agar sistem lebih andal. Pengembangan pendekatan hibrida dengan menggabungkan analisis statis dan dinamis disarankan untuk memperkuat deteksi malware Android yang semakin kompleks. Dengan demikian, penelitian ini diharapkan memberikan kontribusi signifikan terhadap pengembangan sistem keamanan siber yang adaptif, andal, serta relevan bagi tantangan digital masa depan.
Co-Authors Ahmad Zakir, Ahmad Aks, Safriadi M Yunus Andi Marwan Elhanafi, Andi Marwan Djunaedi Eti Nurwening Sholikhah Hadinata, Edrian Laely, Nur Lestari, Nurhilah Pratiwi, Woro Rukmi