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Phytochemical Screening and GC–MS Characterization of Arenga pinnata Merr. Fruit Peel Extract Using Ethanol, Methanol, and Chloroform as Natural Antimicrobial Candidates Arioen, Refi; Aziz, RZ Abdul; Ayunisa, Puan Mutia; Rahimah, Souvia; Md Sikin, Adi; Damsir; Yuliawati, Dona; Rahma, Safaa Atiqa
Biosfer: Jurnal Tadris Biologi Vol 17 No 1 (2026): Biosfer: Jurnal Tadris Biologi
Publisher : UNIVERSITAS ISLAM NEGERI RADEN INTAN LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/biosfer.v17i1.30264

Abstract

Antimicrobial resistance (AMR) has increased interest in sustainable bioresources as alternative antimicrobial candidates. This study mapped the bioactive compound profile of wild sugar palm (Arenga pinnata Merr.) fruit peel waste collected from the Wan Abdul Rahman Forest area, Lampung, Indonesia. It established a preliminary chemical basis for its antimicrobial potential. Qualitative phytochemical screening of a 96% ethanol extract confirmed the presence of flavonoids, phenolics, tannins, saponins, steroids/triterpenoids, alkaloids, amino acids, and reducing sugars, indicating a diverse spectrum of secondary metabolites associated with antimicrobial and antioxidant activities. GC–MS analysis of methanol–chloroform (8:2) and chloroform extracts identified 31 compounds, dominated by 1-eicosanol, 9,12-octadecadienoic acid methyl ester, 9-octadecenoic acid methyl ester, octadecanoic acid methyl ester, hexadecanoic acid methyl ester, and 1,2-benzenedicarboxylic acid diethyl ester. These findings provide a chemical baseline supporting sugar palm fruit peel waste as a promising local source of value-added natural bioactive compounds. Skrining Fitokimia dan Karakterisasi GC-MS Ekstrak Kulit Buah Arenga pinnata Merr. Menggunakan Etanol, Metanol, dan Kloroform sebagai Kandidat Antimikroba Alami ABSTRAK: Resistensi antimikroba (AMR) telah meningkatkan pencarian sumber hayati berkelanjutan sebagai kandidat antimikroba alternatif. Penelitian ini bertujuan memetakan profil senyawa bioaktif limbah kulit buah aren liar (Arenga pinnata Merr.) yang dikumpulkan dari kawasan hutan Wan Abdul Rahman, Lampung, Indonesia, serta menyusun dasar kimia awal untuk menilai potensinya sebagai sumber antimikroba alami. Skrining fitokimia kualitatif terhadap ekstrak etanol 96% mengonfirmasi keberadaan flavonoid, fenolik, tanin, saponin, steroid/triterpenoid, alkaloid, asam amino, dan gula pereduksi, yang menunjukkan keragaman metabolit sekunder yang berkaitan dengan aktivitas antimikroba dan antioksidan. Analisis GC–MS terhadap ekstrak metanol–kloroform (8:2) dan kloroform mengidentifikasi 31 senyawa, yang didominasi oleh 1-eicosanol, metil ester asam 9,12-oktadekadienoat, metil ester asam 9-oktadekenoat, metil ester asam oktadekanoat, metil ester asam heksadekanoat, dan dietil ester asam 1,2-benzenadikarboksilat. Temuan ini memberikan dasar kimia awal yang mendukung limbah kulit buah aren sebagai sumber lokal senyawa bioaktif alami bernilai tambah.
Benchmark and comparison between hyperledger and MySQL Onno W. Purbo; Sriyanto Sriyanto; Suhendro Suhendro; Rz Abd. Aziz; Riko Herwanto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.13743

Abstract

In this paper, we report the benchmarking results of Hyperledger,  a Distributed Ledger, which is the derivation Blockchain Technology.  Method to evaluate Hyperledger in a limited infrastructure is developed. Themeasured infrastructure consists of 8 nodes with a load of up to 20000 transactions/second. Hyperledger consistently runs all evaluation, namely, for 20,000 transactions, the run time 74.30s, latency 73.40ms latency, and 257 tps. The benchmarking of Hyperledger shows better than a database system in a high workload scenario. We found that the maximum size data volume in one transaction on the Hyperledger network is around ten (10) times of MySQL. Also, the time spent on processing a single transaction in the blockchain network is 80-200 times faster than MySQL. This initial analysis can provide an overview for practitioners in making decisions about the adoption of blockchain technology in their IT systems.
ANALISIS KUALITAS LAYANAN WEBSITE DENGAN MENGGUNAKAN METODE WEBQUAL DAN IMPORTANCE ANALYSIS (STUDI KASUS WEBSITE ITBA DCC PSDKU KOTABUMI) ali rohman; RZ Abdul Aziz
Jurnal Cendikia Vol 25 No 1 (2025): Vol. 25 No. 1 2025
Publisher : LPPM ITBA Dian Cipta Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.2313/jc.v25i1.571

Abstract

Sebuah website merupakan representasi pemilik website di dunia maya. Oleh karena itu pemilik website perlu memperhatikan kualitas website, karena kualitas website dapat memberikan gambaran dari kualitas pemilik website. Pengukuran tingkat kualitas website perlu dilakukan untuk mengetahui tingkat kualitas website itu sendiri, karena website yang berkualitas mencerminkan kualitas perguruan tinggi pemilik website tersebut. Perguruan Tinggi Institut Teknologi Bisnis dan Bahasa (ITBA) Dian Cipta Cendikia PSDKU Kotabumi menggunakan website sebagai media administrasi informasi, sehingga website mempunyai peran yang sangat penting bagi Perguruan Tinggi Institut Teknologi Bisnis dan Bahasa (ITBA) Dian Cipta Cendikia PSDKU Kotabumi. Sedangkan pihak kampus belum melakukan pengukuran terhadap kualitas website sehingga belum diketahui tingkat kualitas dari website yang ada. Terdapat beberapa keluhan yang disampaikan oleh mahasiswa terkait website seperti ketersediaan website dan informasi yang tidak akurat. Keluhan-keluhan mengenai website tersebut yang mendorong peneliti untuk melakukan penelitian mengenai kualitas website. Metode yang digunakan adalah Webqual Index (WQI), dan Indeks Kepuasan Pengguna (IKP). Tahap pertama dalam penelitian ini dilakukan uji validitas dengan pendekatan Pearson Product Moment, kemudian uji reliabilitas dengan menggunakan Cronbach’s Alpha. Dengan analisa Webqual Index diperoleh indeks kualitas website sebesar 0,71 dan Indeks Kepuasan Pengguna sebesar 0,71. Hasil analisa Importance Performance Analysis menyatakan bahwa sub dimensi yang ada di dimensi availability, information quality, service interaction quality, dan usability perlu diprioritaskan untuk meningkatkan kualitas website kedepannya.
Comparative Analysis Of Machine Learning Algorithms For Dengue Fever Prediction Based On Clinical And Laboratory Features Sriyanto, Sriyanto; Aziz, RZ Abdul; Rahayu, Dewi Agushinta; Zuriati, Zuriati; Abdollah, Mohd Faizal; Irianto, Irianto
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5309

Abstract

Dengue fever (DF) remains a global health problem requiring accurate early detection to prevent severe complications. This study applies machine learning (ML) algorithms to clinical and laboratory data for improving diagnostic accuracy. Six classifiers were compared: Decision Tree (DT), K-Nearest Neighbor (KNN), Logistic Regression (LR), Naïve Bayes (NB), Neural Network (NN), and Support Vector Machine (SVM). The dataset consists of 1,003 patient records with nine feature columns, of which 989 were used after preprocessing. Class distribution was imbalanced, with 67.6% positive and 32.4% negative cases. Model performance was evaluated using 10-fold cross-validation based on accuracy, precision, recall, F1-score, confusion matrix, and ROC curve analysis. The results indicate that DT achieved the highest performance with 99.4% accuracy, 99.4% precision, 99.7% recall, and 99.6% F1-score, slightly outperforming NN. KNN, LR, and SVM produced comparable results, while NB showed substantially lower accuracy (44.3%) and limited discriminatory power. ROC analysis confirmed these findings, with DT, NN, SVM, and LR achieving AUC values between 0.992 and 0.999, whereas NB performed poorly. These findings highlight the strong potential of ML algorithms, particularly DT, to support medical decision systems, strengthen informatics-based decision support applications, and enhance the accuracy and speed of dengue diagnosis in clinical practice.
Analisis Faktor yang Mempengaruhi Kinerja Personel DITRESKRIMSUS Polda Lampung: Analysis of Factors Influencing the Performance of Personnel of the Lampung Regional Police's Special Criminal Investigation Directorate Ida Elvida Wati; RZ Abdul Aziz
Jurnal Bisnis dan Ekonomi Vol 4 No 2 (2026): Jurnal Bisnis dan Ekonomi
Publisher : OGZ Research & Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61597/jbe-ogzrp.v4i2.211

Abstract

Objective: The purpose of this study is to analyze several factors that may influence the performance of personnel at the Lampung Regional Police's Criminal Investigation Directorate. Methodology: This study employed a multiple linear regression approach using SPSS 26. Research Results: The estimated results indicate that motivation is a variable with a positive and significant influence on personnel performance. The work environment also influences personnel performance, although its significance is at a looser tolerance level of 10%. Workload and competency variables do not significantly influence personnel performance.