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Pengaruh Inflasi, Suku Bunga, Dan Nilai Tukar Rupiah Terhadap Return Saham Perusahaan Sektor Keuangan Yang Terdaftar di Bursa Efek Indonesia Nanda Iramatul Izza, RA; Novita Indriyani; Dea Ayu Prananda; Chamariyah Chamariyah
Inisiatif: Jurnal Ekonomi, Akuntansi dan Manajemen Vol. 4 No. 2 (2025): April : Inisiatif : Jurnal Ekonomi, Akuntansi dan Manajemen
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/inisiatif.v4i2.4143

Abstract

Many variables can affect the company's stock returns, this study focuses on the aim to determine the effect of inflation, interest rates and rupiah exchange rates on stock returns of financial sector companies listed on the Indonesia Stock Exchange (IDX). The inflation rate, interest rate, and rupiah exchange rate are obtained from the official website of Bank Indonesia. While the value of stock returns is obtained from data from OJK (Financial Services Authority) and the financial statements of 5 banks listed on the IDX, namely BRI, Mandiri, BNI, BCA, and BTN. The entire data was taken from the last 10 years, namely from 2014 - 2024 with linear regression path analysis techniques with a 1 scheme structure pattern. Based on the results of the analysis, this study states that the effect of inflation, interest rates, and the rupiah exchange rate on financial sector stock returns on the IDX is not statistically significant. Although there is a positive relationship between inflation and stock returns, as well as a positive relationship between interest rates and stock returns, both are not strong enough to be considered significant at the 95% confidence level.
Pemodelan Prediksi Penerima Beasiswa Kip-Kuliah Menggunakan Metode Weight Product Indriyani, Novita; Fauzi, Ahmad; Yanto, Andika Bayu Hasta Yanto
IMTechno: Journal of Industrial Management and Technology Vol. 5 No. 1 (2024): Vol. 5 No. 1 (2024): Januari 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/imtechno.v5i1.2958

Abstract

Penelitian ini bertujuan untuk mengembangkan model prediksi penerima beasiswa KIP-Kuliah menggunakan metode Weight Product. Beasiswa KIP-Kuliah adalah bantuan keuangan yang diberikan kepada mahasiswa berprestasi dengan latar belakang ekonomi rendah. Metode Weight Product digunakan untuk mengintegrasikan dan menimbang faktor-faktor kriteria yang mempengaruhi keputusan penerimaan beasiswa. Studi ini melibatkan metode pengumpulan data dari penerima beasiswa KIP-Kuliah sebelumnya, yaitu beasiswa, sistem pendukung keputusan dan dengan metode weight product tentunya, dengan variabel-variabel seperti pekerjaan dan penghasilan orang tua, kartu yang dimiliki, status kendaraan dan kepemilikan rumah, luas bangunan hingga sarana MCK. Data kemudian diolah menggunakan analisis statistik dan teknik pembobotan untuk menghasilkan model prediksi. Pembobotan dilakukan dengan memberikan bobot relatif pada setiap kriteria berdasarkan kontribusinya terhadap keputusan penerimaan beasiswa. Hasil dari penelitian ini terdapat 74 calon penerima beasiswa yang direkomendasikan untuk mendapatkan beasiswa KIP dan 12 tidak direkomendasikan dikarenakan kurang sesuai dengan kriteria untuk calon penerima beasiswa KIP. Diharapkan hasil dari penelitian ini dapat memberikan kontribusi dalam meningkatkan keakuratan prediksi penerima beasiswa KIP-Kuliah, membantu penyelenggara beasiswa dalam pengambilan keputusan yang lebih objektif dan efisien. Metode Weight Product yang diusulkan memiliki potensi untuk meningkatkan validitas dan reliabilitas prediksi, sehingga dapat menjadi dasar bagi pengembangan sistem pendukung keputusan dalam proses seleksi penerima beasiswa. Penelitian ini dapat menjadi landasan bagi penelitian lebih lanjut dalam bidang pemodelan prediksi penerimaan beasiswa dengan pendekatan berbasis bobot.
Desain Ulang Tata Letak Fasilitas Pabrik Dengan Menggunakan Metode Systematic Layout Planning (SLP) Pada PT Tesena Inovindo Bayu Hasta Yanto, Andika; Abimanyu, Ridwan; Fauzi, Ahmad; Indriyani, Novita
IMTechno: Journal of Industrial Management and Technology Vol. 5 No. 2 (2024): Vol. 5 No. 2 (2024): Juli 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/imtechno.v5i2.3374

Abstract

PT Tesena Inovindo Merupakan perusahaan yang bergerak dibidang perakitan alat kesehatan. Terdapat permasalahan pada PT Tesena Inovindo yang menyebabkan jarak perpindahan material pada proses produksi Infant Incubator menjadi cukup jauh, sehingga proses produksi mereka menjadi kurang optimal. Maka tujuan dari penelitian ini adalah membuat rancangan tata letak yang dapat lebih meminimalkan jarak perpindahan material pada proses produksi Infant Incubator. Metode yang digunakan dalam penelitian ini adalah systematic layout planning (SLP), merupakan metode yang digunakan untuk merancang tata letak fasilitas. Dalam penelitian ini juga dilakukan pengukuran secara langsung pada area produksi untuk menentukan ukuran dari masing-masing ruang dan fasilitas didalamnya. Berdasarkan hasil analisis maka ditemukan alternative layout yang dapat lebih meminimalkan jarak perpindahan material pada produksi Invant Incubator. Dimana jarak awal total perpindahan yaitu 154,85 M kemudian diminimalisir, sehingga jataknya menjadi 71,64 M. Maka dengan adanya alternative layout usulan ini dapat mengurangi jarak sekitar 83,21 M. Jika jarak perpindahan material dapat dikurangi maka waktu produksi kemungkinan juga akan menjadi lebih cepat dari sebelumnya.
Analisis Faktor Kepuasan Konsumen Terhadap Produk Roti Pinkan Bakery & Cake dengan Algoritma C4.5 Novita Indriyani; Heru Satria Tambunan; Zulia Almaida Siregar
JURAL RISET RUMPUN ILMU TEKNIK Vol. 1 No. 2 (2022): Oktober : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1739.909 KB) | DOI: 10.55606/jurritek.v1i2.413

Abstract

Penelitian ini bertujuan untuk mengetahui besar tingkat kepuasan konsumen terhadap produk roti Pinkan Bakery & Cake. Dengan mengetahui tingkat kepuasan konsumen, maka pihak toko dapat memperbaiki dan meningkatkan faktor kepuasan konsumen apabila ada kelemahan dan kekurangan. Metode yang digunakan dalam penelitian ini dengan data mining yaitu Algoritma C4.5, sumber data diambil dengan menggunakan angket/kuesioner pada tahap survei pengisian lembar kertas kepada pengunjung toko atau masyarakat sekitar di lingkungan Desa Bangun. Adapun variabel yang digunakan yaitu (1) Harga, (2) Rasa, (3) Kualitas Produk, (4) Kebersihan Tempat. Untuk memudahkan proses pembuatan pohon keputusan proses uji penelitian menggunakan software Rapidminer 5.3. Berdasarkan seluruh hasil tahapan penelitian yang telah dilakukan pada Penerapan Algoritma C4.5 pada analisis faktor Kepuasan Konsumen terhadap Produk Roti Pinkan Bakery and Cake dapat disimpulkan bahwa permasalahan menentukan faktor kepuasan konsumen terhadap produk Roti dapat diselesaikan menggunakan teknik data mining, yaitu dengan Algoritma C4.5. Menghasilkan 5 rules dan Tingkat akurasi yang dihasilkan oleh metode tersebut adalah 93%. Dari perhitungan dengan Algoritma C4.5 maka didapatkan faktor yang paling dominan adalah Rasa (C2) dengan nilai gain sebesar 0,333610402.
HAMBATAN EPISTEMOLOGI SISWA DALAM MENYELESAIKAN SOAL SISTEM PERSAMAAN LINIER TIGA VARIABEL Novita Indriyani; Rizki Wahyu Yunian Putra; Siska Andriani
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 2 (2025): Volume10 Nomor 2, Juni 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i2.25827

Abstract

This study aims to describe students’ epistemological obstacles in solving problems related to systems of linear equations in three variables. This is a qualitative study conducted at MA Negeri 02 Tulang Bawang Barat involving 27 tenth-grade students, with three students selected as research subjects representing high, sedang, and low levels of mathematical problem-solving ability. The triangulation used in this research includes both source and technique triangulation. Data collection techniques consisted of tests, interviews, and documentation. Interview sources included both students and teachers. The results show that most students experienced various obstacles, including difficulties in understanding the symbolic meaning of variables, errors in applying the substitution and elimination methods, and limitations in interpreting solution results. These obstacles generally stem from an incomplete understanding of basic algebraic concepts and the interrelationships between equations in the system. These findings have important implications for the development of instructional strategies that emphasize strengthening conceptual understanding and students' mathematical thinking processes.
IMPLEMENTATION OF SALES INFORMATION SYSTEM OF INDONESIAN SPICES AT PT.INDO REMPAH Fauzi, Ahmad; Indriyani, Novita; Hasta Yanto, Andika Bayu
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 4 No. 1 (2021): Jurnal Teknologi dan Open Source, June 2021
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v4i1.1227

Abstract

Spices and herbs are biological resources that have long played an important role in human life. In the current pandemic where our bodies have an immune system that can manage the body's power, but the factors of age, lifestyle and regular use of drugs can affect the level of body power, therefore this spice has been considered to provide health and this has led to the demand for spices. high enough. The continuous use of spices, both from the household sector to the industrial sector, makes consumers have to find or buy these spices every day to the market or to spice collectors for industrial consumers. To meet market needs and consumer needs directly, therefore the proposed solution to overcome this problem is to use e-commerce media. The system development model used in making this information system is the SDCL (System Development Life Cycle) waterfall (Waterfall) or classic life flow. The stages that are passed in the system analysis and design process include: system requirements analysis, design, code generator, testing and support. From the results of this study, it is hoped that the existence of this spice sales information system can help farmers, especially spice producers, in terms of increasing the selling power of their agriculture, making it easier to carry out promotions, sales transactions to produce sales reports.
Selection of Coffee Shop Business Locations Using the Analytical Hierarchy Process Method Fauzi, Ahmad; Indriyani, Novita; Bayu Hasta Yanto, Andika
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 4 No. 2 (2021): Jurnal Teknologi dan Open Source, December 2021
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v4i2.1771

Abstract

The Coffee Shop business is one of the trending businesses in Indonesia, so competition in this business field can be said to be increasing rapidly. In order to get a strategic business location, the majority of decision makers are wrong in choosing the location of their business, this is due to the lack of analysis and to the data from the location survey and the lack of decision-making limitations in analyzing the survey data. For this reason, it is necessary to create a system, where this system uses the Analytical Hierarchy Process (AHP) method to assist in processing survey data. The application of the Analytical Hierarchy Process (AHP) method in determining the location of the Coffee Shop business is determined using 7 (criteria) criteria including rental prices, buildings, clean water, accessibility, distance to offices, internet connections and electricity sources. The final result of the process using the AHP method is ranking of several alternative locations that have been set, and several alternative locations get the highest global weight, it becomes recommendations for the development of this coffee shop business
Attendance Mobile Application With Face Recognition and Detect Location Hasta Yanto, Andika Bayu; Fauzi, Ahmad; Indriyani, Novita
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 5 No. 1 (2022): Jurnal Teknologi dan Open Source, June 2022
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v5i1.2187

Abstract

Every company must have an attendance policy for each of its employees for the purpose of employee attendance and performance reports in the performance of their work, but currently there are still many companies that still have an absence system that is not computerized, so the calculation and accounting process is still done manually, because everything is calculated manually, it is possible that there are errors in the calculations and take time to process data absence of all employees. Therefore, an application that can automatically process and record data is needed to avoid errors and speed up the data processing process. In addition, the application can facilitate employees' attendance as it can be accessed directly from cell phones by using facial recognition and location detection to prove the attendance of employees.
Application Of Simple Additive Weighting (SAW) For The Selection Of Breast Milk Pumps For Working Mothers Indriyani, Novita; Fauzi, Ahmad; Hasta Yanto, Andika Bayu
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 5 No. 2 (2022): Jurnal Teknologi dan Open Source, December 2022
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v5i2.2626

Abstract

Optimal breastfeeding is very important because it can save more than 800,000 lives of children under five every year. Among the many reasons why mothers do not exclusively breastfeed is that they go back to work (22.5%). Homemakers have a greater chance of exclusively breastfeeding because they spend more time with the baby, allowing them to breastfeed optimally. Based on the results of previous studies, working mothers give breast milk directly (when they are at home or resting) and give milk from milk. Using a breast pump is considered more practical, easier and saves time. The breastpump method (MPA) for exclusive breastfeeding for working mothers also does not interfere with the work process and offers flexibility in working hours. What worries women who work while breastfeeding is maintaining breast milk production during working hours. However, according to research, there is no significant difference between the effectiveness and satisfaction of breast milk production when using an electric breast pump. The use of a breast pump does not affect the amount of breast milk produced, even though an electric breast pump provides more effectiveness and satisfaction in expressing breast milk. This study aims to select the type of breast pump for working mothers to facilitate exclusive breastfeeding of the baby. The result of the calculation of SAW method resulted in a recommendation for a breast pump Moom Uung with a value of 15.67 The result of the calculation of SAW method resulting in a recommendation for a breast pump Moom Uung with a value of 15.67.
Implementation of Data Mining of Organic Vegetable Sales With Apriori Algorithm Fauzi, Ahmad; Yanto, Andika Bayu Hasta; Indriyani, Novita
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 6 No. 1 (2023): Jurnal Teknologi dan Open Source, June 2023
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v6i1.3049

Abstract

In the modern organic vegetable sector, the author observes that there is very tight business competition. Therefore, an effective approach is essential to attract buyers, although restricted sources of new information are one of the hurdles in establishing this business.Association rules are expressed with numerous features that are commonly referred to as (affinity analysis) or (market basket analysis. It was discovered that if consumers buy curly red chilies, they are also inclined to buy cayenne pepper with a 100% confidence level. Likewise, if people buy kale and red curly chiles, they are more likely to buy cayenne pepper with a 100% confidence level. This also applies if consumers buy tomatoes and curly red chilies with a 100% confidence level. In addition, other associations were also observed, such as if consumers buy curly red chilies, they prefer to buy tomatoes with a confidence level of 86%, or if they buy tomatoes and bird's eye chilies, they tend to buy curly red chiles with an 86% confidence level.Likewise, if people buy both cayenne pepper and red curly chili, they are more likely to buy tomatoes with an 86% confidence level. Finally, if customers buy kale and cayenne pepper, they are also likely to buy red curly chilies at an 83% confidence level. Based on the data acquired from this study, it is intended to obtain information about combinations of organic veggies that consumers typically buy together in each transaction, with the intention of improving organic vegetable yields and devising appropriate sales tactics.