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All Journal Jurnal Ilmiah Farmasi EKSAKTA: Journal of Sciences and Data Analysis Asian Journal of Innovation and Entrepreneurship (AJIE) BAREKENG: Jurnal Ilmu Matematika dan Terapan Emerging Statistics and Data Science Journal
Dini, Sekti Kartika
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Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Transportation

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GOLD PRICE PREDICTION IN INDONESIA BASED ON INTEREST RATE USING DISTRIBUTED LAG ALMON TRANSFORMATION Aqilah, Nanda Yumna; Dini, Sekti Kartika
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss3pp1889-1898

Abstract

Gold is valued for its safety and profitability, driven by steady price changes and influenced by interest rates. Accurately predicting gold prices is very important to make the right investment decisions. This study aims to build a gold price model in Indonesia using the Almon transformation lag distribution and see gold price predictions based on the model that has been built. We used the data on gold prices and interest rates from January 2016 to December 2023. Based on the results of the analysis, the best Almon transformation model used in this study is the Almon model with a maximum lag length of 16 and the second polynomial degree. The prediction results have a MAPE of 16.49%, which shows that the Almon model can predict gold prices well for one year. This study contributes to the understanding of gold price dynamics amid economic variations. However, limitations in the model assumptions should be considered.
UJI STABILITAS FISIK DAN EFEKTIVITAS ANTIBAKTERI PADA PERESEPAN PUYER ERITROMISIN CHEWABLE TERHADAP BAKTERI Escherichia coli DAN Staphylococcus aureus Herawati, Mutiara; Indrati, Oktavia; Romadhonsyah, Fitra; Purbaningtias, Tri Esti; Dini, Sekti Kartika; Rahmadani, Yusi; Mardatillah, Wahidatun
Jurnal Ilmiah Farmasi Vol. 20 No. 1 (2024): Jurnal Ilmiah Farmasi
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jif.vol20.iss1.art6

Abstract

Background: Pediatric patients frequently receive prescriptions for erythromycin due to its availability in chewable tablet form. Some conditions lead to the powdering of chewable tablets to enhance patient acceptability. Modifying the dosage form of chewable tablets into powder can change the drug's surface, affecting its physical stability and effectiveness against bacteria.Objective: This study aims to determine the physical stability of divided powder and the effectiveness of erythromycin pulveres against E. coli and S. aureus on the 1st to 14th days.Method: For this study, we prepared up to 200 mg of erythromycin powder, typically administering it to pneumonia patients at a dose of 50 mg/kgBW/day. We will evaluate pulveres physical stability through organoleptic and humidity tests. Next, the powder's effectiveness was evaluated using the disk diffusion method (Kirby Bauer) with an erythromycin powder inhibition zone diameter of 25.65 μg containing 15 μg of erythromycin against E. coli and S. aureus bacteria.Results: After day 9, the organoleptic test results showed a slight hardening; however, the moisture balance test results showed the change in humidity percentage was still in the stable range (1.24-2.12%). The inhibition zone (DIZ) of erythromycin powder against S. aureus was 91.7–97.40% bigger than the positive control. The DIZ against E. coli was 44.6–88.70% bigger than the positive control.Conclusion: Erthyromycin powder was stable for 14 days and is effective against S. aureus bacteria.Keywords: Erythromycin, divided powder, S. aureus, E. coli Intisari Latar belakang: Eritromisin sering diresepkan untuk pasien pediatrik karena tersedia dalam bentuk tablet kunyah. Pada beberapa kondisi, tablet kunyah dibuat puyer untuk meningkatkan kenyamanan pasien dalam mengonsumsi obat. Perubahan bentuk sediaan tablet kunyah menjadi puyer dapat memperluas permukaan obat sehingga berisiko mempengaruhi stabilitas fisik sediaan dan efektivitasnya terhadap suatu bakteri. Tujuan: Penelitian ini bertujuan untuk mengetahui stabilitas fisik puyer dan efektivitas puyer eritromisin terhadap E. coli dan S. aureus pada hari ke-1 sampai ke-14.Metode: pengujian ini dilakukan dengan membuat puyer eritromisin dalam dosis 200 mg yang biasa diberikan untuk pasien pneumonia dengan dosis 50 mg/kgBB/hari. Puyer akan diuji stabilitas fisiknya melalui uji organoleptis dan kelembaban. Selanjutnya puyer diuji efektivitasnya menggunakan metode difusi cakram (Kirby Bauer) dengan mengukur diameter zona hambat puyer eritromisin 25,65 μg yang mengandung eritromisin 15 μg terhadap bakteri E. coli dan S. aureus.Hasil: Hasil uji organoleptis menunjukkan adanya sedikit pengerasan setelah hari ke 9 namun hasil uji moisture balance menunjukkan perubahan persentase kelembaban masih pada rentang stabil (1,24-2,12%). Daya hambat puyer eritromisin terhadap S. aureus sebesar 91,7-97,40% dibandingkan kontrol positif, sementara itu, daya hambat terhadap E. Coli berada pada rentang 44,6-88,70. Kesimpulan: Puyer ertiromisin stabil selama 14 hari dan efektif terhadap bakteri S. aureus. Kata kunci: Eritromisin, puyer, S. aureus, E. coli
Peramalan Harga Bawang Merah dan Cabai Merah Menggunakan ARIMAX Model Lestari, Dian Widya Lestari; Dini, Sekti Kartika
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 5, ISSUE 1, April 2024
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol5.iss1.art5

Abstract

Shallots and red chilies are superior vegetable crops and contribute quite a lot to the development of the national economy. Prices of these two commodities fluctuate almost every year. At certain times the price of both commodities soared due to high demand while supply in the market was insufficient. So, it is necessary to do an analysis to see what phenomena have a significant influence on the increase in the price of shallots and red chilies. The method used in this study is ARIMAX with exogenous variables, namely variables dummy monthly and various religious holiday calendars such as Chinese New Year, Eid al-Fitr, and Eid al-Adha. The results of the analysis show that the price of shallots is influenced by calendar variations one month after Chinese New Year and one month before Idul Fitri. Meanwhile, the price of red chilies is influenced by the month before Chinese New Year, during Chinese New Year, and a month after Chinese New Year, a month before Eid al-Fitr and during Eid al-Fitr, a month before Eid al-Adha and during Eid al-Adha. Shallots and red chilies ARIMAX models obtained a MAPE value of 17.36% and 25.62%.
Perbandingan Random Forest dan Naïve Bayes untuk Prediksi Kemenangan Tender dengan Pendekatan SMOTE dan Analisis Feature Importance pada PT XYZ : Perbandingan Random Forest dan Naïve Bayes untuk Prediksi Kemenangan Tender dengan Pendekatan SMOTE dan Analisis Feature Importance pada PT XYZ Rahmadewi, Lintang Asri; Dini, Sekti Kartika
Emerging Statistics and Data Science Journal Vol. 4 No. 3 (2026): Emerging Statistics and Data Science Journal
Publisher : Statistics Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/esds.vol4.iss.3.art06

Abstract

Persaingan tender yang ketat mendorong perusahaan memanfaatkan data historis untuk menyusun strategi penawaran. Namun, penelitian yang membandingkan algoritma klasifikasi pada data kemenangan tender masih terbatas. Penelitian ini bertujuan membandingkan Random Forest dan Naïve Bayes dalam mengklasifikasikan kemenangan tender PT XYZ, perusahaan manufaktur alat dan kendaraan berat, serta mengidentifikasi variabel yang paling berpengaruh. Data merupakan riwayat tender dengan lima variabel kategorik, diproses menggunakan target encoding, lalu diseimbangkan dengan SMOTE pada data latih. Evaluasi menggunakan K-Fold Cross Validation (k = 5) dengan metrik akurasi, presisi, recall, dan F1-score. Hasil menunjukkan bahwa Random Forest yang dioptimalkan dengan GridSearchCV memiliki akurasi 93,6%, sedangkan Naïve Bayes hanya 74,4%. Selisih terbesar terdapat pada recall (95% berbanding 61,4%). Analisis feature importance menunjukkan bahwa Potential Customer (0,400) dan Territory (0,303) merupakan faktor yang paling berpengaruh. Dengan demikian, Random Forest lebih direkomendasikan untuk klasifikasi data kemenangan tender dan dapat membantu perusahaan menyusun strategi penawaran berbasis data.
PENGELOMPOKAN PERGURUAN TINGGI NEGERI DI INDONESIA MENGGUNAKAN METODE HIRARKI DAN K-MEDOIDS DENGAN UKURAN JARAK MODIFIKASI DATA CAMPURAN Hariani, Nabila Puspa; Kariyam; dini, sekti kartika
Asian Journal of Innovation and Entrepreneurship Volume 06, Issue 02, May 2022
Publisher : UII

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ajie.vol6.iss2.art5

Abstract

Education is one of the main targets of the government in order to improve the welfare of the people. Higher education is a level of education after secondary education which includes diploma, bachelor, master, specialist, and doctoral education programs. There are several forms of higher education in Indonesia, namely Polytechnics, Colleges, Academics, Universities, and Institutes. Each higher education has university accreditation and study program accreditation. Accreditation is a form of quality and feasibility assessment of higher education institutions or study programs carried out by independent organizations or bodies outside universities. This accreditation can be grouped with other indicators to find out the grouping of State Higher Education in Indonesia in 2020. The grouping is based on accreditation indicators and 8 other indicators are processed using the Complete Linkage and K-Medoids methods. Calculations evaluated using the Shilhouette Coefficient and Davies Bouldin Index (DBI) resulted in optimal clusters of 4 groups using the Complete Linkage method and 2 groups using the K-Medoids method.
Co-Authors Aqilah, Nanda Yumna Hariani, Nabila Puspa Kariyam Lestari, Dian Widya Lestari Mardatillah, Wahidatun Mutiara Herawati, Mutiara Oktavia Indrati, Oktavia Rahmadani, Yusi Rahmadewi, Lintang Asri Romadhonsyah, Fitra Tri Esti Purbaningtias