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Nirma Ceisa Santi
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almantiq@unugiri.ac.id
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Jl. A. Yani No. 10, Bojonegoro, East Java, Indonesia, 62115
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Almantiq
Published by Universitas Nahdlatul Ulama Sunan Giri Bojonegoro
ISSN : -     EISSN : 29626099     DOI : https://doi.org/10.32665/almantiq
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Adalah Jurnal Ilmiah yang dibangun oleh Fakultas Sains dan Teknologi Universitas Nahdlatul Ulama Sunan Giri (UNUGIRI). untuk menyediakan sarana bagi akademisi dan peneliti untuk mempublikasikan karya ilmiah di khalayak luas. Jurnal ini merupakan penggabungan dari Jurnal Teknik informatika, Jurnal Sistem Informasi, jurnal sistem komputer. Ruang lingkup jurnal ini adalah 1. Data mining 2. Machine Learning 3. Fuzzy Logic 4. Computer Vision 5. Artificial Intelligence 6. Information Retrieval 7. Business Intelligence 8. Enterprise Architecture Design & Management 9. IT Project Management 10. Software Engineering 11. Software Quality 12. Natural Language Procesing 13. Decision Support System 14. Internet of Thing 15. Application of an augmented reality 16. Mobile Computing 17. Embedded system 18. Network Computer Security
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 46 Documents
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Sistem Pendukung Keputusan Pemilihan Jenis Investasi Menggunakan Metode Analytical Hierarchy Process (AHP) Fauzi, Muhammad; Vikri, Muhammad Jauhar; Wahyudhi, Sunu
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 1 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v4i1.2183

Abstract

Currently, the investment sector is experiencing rapid development in Indonesia. However, the lack of understanding of how to choose the optimal investment results in less accurate and appropriate decision making, which in turn can result in losses in making investments. The purpose of the investment type selection decision support system is to provide convenience to new investors in making decisions regarding the type of investment. Dataxcollection is done by interview, observationcand literature study. Fromxthe results of data collection, several alternatives were obtained, namely stocks, mutual funds, bonds and deposits with selection criteria including risk, return and liquidity. Data processing is done with one of the DSS (Decision Support Systems) methods, namely the AnalyticalxHierarchy Process (AHP) method, with the results of stocks being determined as the best investment option.
Analisis Penerapan Program Customer Reward Menggunakan K-Means Barata, Mula; Novitasari, Dwi Tiyas Novitasari; Hastuti, Dwi Issadari; Rochmatin, Novia Nur; Muzakka, Mochammad Arifuddin; Andiyani, Putri
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 1 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v4i1.2698

Abstract

Penelitian ini bertujuan menganalisis konsumen untuk memberikan program reward berdasarkan kepuasan dan loyalitas mereka dalam pusat perbelanjaan [Mall]. Penelitian dilakukan dengan cara mengumpulkan data, kemudian menganalisis hasilnya menggunakan metode clustering yang relevan. Analisis regresi menunjukkan hubungan yang kuat antara variabel-variabel tersebut, dan penelitian ini memberikan bukti kuat untuk pusat perbelanjaan [mall] dan perusahaan sejenis, supaya menggunakan metode ini untuk meningkatkan kepuasan pelanggan mereka. Hasil ini dapat membantu perusahaan dalam merancang strategi reward yang lebih efektif dan sesuai dengan preferensi konsumen. Penelitian ini memberikan kontribusi pada literatur tentang manajemen customer dan strategi pemasaran dengan menyelidiki peran mereka dalam meningkatkan kepuasan dan loyalitas . Implikasi praktis dari penelitian ini dapat membantu perusahaan untuk memaksimalkan manfaat dari investasi mereka dalam program reward, dengan memastikan bahwa program tersebut tidak hanya menarik bagi customer tetapi juga efektif dalam menciptakan loyalitas jangka panjang.
SISTEM PENDUKUNG KEPUTUSAN PENJURUSAN SMA NEGERI 1 KEDUNGADEM MENGGUNAKAN METODE AHP (Analitychal Hierarchy Process) Meilia , Venny; Irsyada , Rahmat
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 1 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research was developed for a Major Decision Support System Using the AHP (Analythy Hierarchy Process) Method at SMA Negeri 1 Kedungadem. In the Indonesian Education curriculum, the selection of majors at the SMA level is an important stage that requires careful assessment of the Criteria. The AHP method is used to assist students in transmitting criteria such as Mathematics, Science, Social Sciences, English, and Indonesian in choosing the appropriate major.
Implementasi Algoritma Naive Bayes Dengan Feature Selection Backward Elimination Dalam Pengklasifikasian Status Penderita Stunting Pada Balita APRILLIA, YUSIFA; ALAWI, ZAKKI; ARISTIA SA'IDA, ITA
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 2 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v4i2.3238

Abstract

Stunting or stunting is one of the nutritional problems experienced by toddlers, where toddlers experience failure to thrive as a result of chronic malnutrition so that toddlers are too short for their age. Broadly speaking, stunting is caused by a lack of nutrition for a long time and the occurrence of recurrent infections, and these two causative factors are influenced by inadequate parenting from the womb to the first 1,000 days of birth. The Asian Development Bank (ADB) reports that the prevalence of children with stunting under the age of five in Indonesia is the second highest in Southeast Asia. Its prevalence reaches 31.8% in 2020. Further monitoring and data collection by the Singgahan Pukesmas regarding stunting cases determines the growth and development factors of toddlers both in the womb and toddlers who have been born. However, the problem that often arises at the Singgahan Pukesmas is that examining the status of stunting in toddlers still takes quite a long time because it is done manually and is also prone to inaccuracies, so a system is needed that can classify toddler examination data to predict whether the child is in stunting or not stunting status. fast and accurate. From the results of this study it can be concluded that the Naive Bayes Algorithm with backward elimination feature selection makes it easier to determine the status of stunted or not stunted toddlers with the variables gender, age, weight, height, BB/U, Z-core BB/U, BB/ TB, Z-Core BB/TB, Z-core TB/U with a total of 450 dataset records, 360 training data records and 90 testing data records taken randomly with an accuracy of 86.11%
Sistem Identifikasi Pencemaran Air Sungai Berbasis Internet Of Things Eli Widyawati, Reza; Audytra, Hastie; Aristia Sa'ida, Ita
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 2 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v4i2.3239

Abstract

Rivers are open-water ecosystems that are vulnerable to pollution or damage. Pollution that occurs in rivers is usually caused by environmental conditions and human activity that settles around the river. Water ecosystems consist of interrelated biotic and abiotic components; when both components are interrupted, changes in the ecosystem become unbalanced. Water pollution can be caused either intentionally or accidentally, but the main factor in the occurrence of water contamination that is often found is the result of human activity. Technology in this era is evolving very fast. Therefore, there are many prototypes that can support the development of such technologies, such as node-MCU and the Internet of Things (IOT). NodeMCU is a microcontroller equipped with the WiFi module ESP8266. NodeMCU also has a relatively cheaper price.The test results on this system were obtained by conducting a black box test and a validity test on an IOT-based river water pollution identification system using a pH sensor and a turbidity sensor. The results of testing the application of fuzzy sugeno produce a value of 100% from the compatibility of the 3 tests, namely testing on the system, matlab and manual calculations.He suggested that this system could make it easier to know the quality of contaminated or uncontaminated river water.
Pengembangan Sistem Monitoring Kesehatan Berdasarkan Detak Jantung dan Suhu Tubuh Berbasis Internet of Things dengan Metode Fuzzy Mamdani Bashori, Fandi Achmad; Dirgantoro, Guruh Putro; Wahyudi, Sunu
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 2 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v4i2.3285

Abstract

The progress of innovation and data is currently very fast, one sign of which is the presence of the Internet of Things (IoT). IoT is an internet service that is integrated by utilizing certain types of sensorsIn the health sector, both the patient treatment process and the development of health science technology itself is experiencing rapid technological advances. The purpose of this research is to build a health monitoring system based on heart rate and body temperature based on the Internet of Things. The method used in this study is Prototyping.Prototyping is a software development method, which is in the form of a physical working model of the system and functions as an initial version of the system. The prototype of this tool is used to monitor the health of the human body through heart rate and body temperature in humans, namely by using a Pulse sensor and DS18B20 temperature sensor in hand then the results of the sensor readings will appear on the LCD and then configured on the Blynk application on the Smartphone . Based on the results of analysis and testing of health monitoring tools based on heart rate and body temperature based on the Internet of Things. Development of a health monitoring system based on heart rate and body temperature based on the Internet of Things has been made with various electronic components, namely NodeMCU ESP8266, Pulse sensor, DS18B20 temperature sensor , and also a 2x16 LCD. Testing the pulse sensor and temperature sensor DS18B20 is able to detect heart rate and body temperature by holding the two sensors
IMPLEMENTASI METODE K-MEANS CLUSTERING UNTUK MENENTUKAN PERSEDIAAN STOK BARANG PADA TOKO AT-THULLAB TUBAN Ghofur, Muhammad Abdul; Zayn, Afta Ramadhan; Faila, Rizka Nur
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 2 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v4i2.3286

Abstract

The At-Thullab store is an office stationery (ATK) store that sells various kinds of office stationery needs and several other types of goods such as pens, books, pencils, children's toys, and some birthday supplies. The At-Thullab store sells a variety of stationery among the community in the Sumurcinde Village area, Soko District, Tuban Regency. In handling stationery sales services, the At-Thullab store has one employee to serve the needs of its own buyers. In sales transactions there are many buyers who make transactions every month. There are so many types of goods it is not known which goods are most interested in buyers, so sometimes there are stockpiles of goods that are of less interest to buyers. In this study, k-means clustering was applied in determining clustering on item data in the At-Thullab store . Determination of inventory stock that can be accessed through web-based k-means clustering can be used as a support or complement for shop owners, shop heads and store employees, at At-Thullab stores. With these results, the store can also consider which products will be introduced to the store with the most sales. In this study, it can be concluded that several things are needed to analyze sales that occurred at the At-Thullab Store on January 1 – March 20 2023. The data was processed using k-mean clustering to determine groups of goods that did not sell well, sold and those that were very salable in this study the.
IMPLEMENTASI NAÏVE BAYES CLASSIFIER UNTUK ANALISIS SENTIMEN APLIKASI PINJAMAN ONLINE PADA MEDIA SOSIAL TWITTER Azzahra, Shinta May Khoiria; Santi, Nirma Ceisa; Wahyudi, Sunu
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 2 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v4i2.3287

Abstract

Sistem analisis sentimen adalah sistem yang digunakan untuk melakukan proses analisis otomatis pada tweet aplikasi pinjaman online berbahasa Indonesia untuk mendapatkan informasi termasuk informasi sentimen yang menjadi bagian dari tweet tersebut. Data tersebut diklasifikasikan dengan menggunakan Naive Bayes. Sistem analisis sentimen dibagi menjadi 5 (lima) tahap, yaitu scraping, pre-processing, pembobotan kata, pembangunan model dan klasifikasi sentimen. Metode TF-IDF (Term Frequency - Inverse Document Frequency) digunakan untuk pembobotan kata. Data yang ada akan diklasifikasikan menjadi 2 (dua) kelas positif dan negatif. Hasil pengujian dengan 500 data dari tweet aplikasi Kredivo menunjukkan bahwa pada pengujian 2 kelas (negatif dan positif) didapatkan hasil terbaik pada 90% data latih dan 10% data uji dengan nilai akurasi sebesar 91,12%.
Sistem Pendukung Keputusan Pengangkatan Pegawai Tetap Pada Lembaga Pendidikan Ma’arif Nu Cabang Bojonegoro Menggunakan Metode Topsis Rubaiyah, Zumrotul; Irsyada, Rahmat
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 2 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v4i2.3288

Abstract

Pegawai menjadi elemen kunci dalam kesuksesan organisasi, termasuk Lembaga Pendidikan Ma'arif NU Cabang Bojonegoro. Pengangkatan pegawai tetap menjadi tahap penting dalam memastikan kualitas sumber daya manusia yang mendukung visi dan misi lembaga. Penelitian ini mengembangkan Sistem Pendukung Keputusan (SPK) berbasis komputer menggunakan metode Technique Order Preference by Similarity To Ideal Solution (TOPSIS) untuk mempercepat dan meningkatkan akurasi pengangkatan pegawai tetap di Lembaga Pendidikan Ma'arif NU Cabang Bojonegoro. Proses manual yang ada telah mengakibatkan ketidakpastian data dan kebutuhan akan sistem yang lebih efisien. Dengan SPK berbasis web, seleksi pegawai dapat dipercepat, meningkatkan produktivitas sesuai kriteria yang ditentukan. Hasil penelitian menunjukkan keberhasilan implementasi TOPSIS dalam pengujian blackbox, dengan sistem yang layak dan sesuai dengan fungsi yang diharapkan. Dengan persentase 94% dalam pengujian kelayakan, sistem ini diharapkan dapat meningkatkan efisiensi dan efektivitas pengangkatan pegawai tetap di lembaga tersebut.
Prediksi Tingkat Kelahiran Bayi di Kabupaten Bojonegoro dengan Menggunakan Algoritma Naive Bayes Qibtiyah, Mariyatu; Cahyani, Nita
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 2 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v4i2.3289

Abstract

Perkembangan teknologi informasi pada zaman ini yang sangat pesat dimulai dari penemuan informasi baru pada big data dengan mencari suatu pola tertentu atau sering disebut dengan istilah Data Mining. Data mining merupakan proses dimana menggunakan teknik statistik, matematika, kecerdasan buatan, serta machine learning yang digunakan untuk mengekstraksi (proses pemisahan) dan mengidentifikasi informasi yang bermanfaat terkait dari berbagai database besar. Dengan berkembangnya teknologi informasi saat ini, terutama pada bidang data mining yang telah banyak digunakan dalam sistem informasi. Ada beberapa metode klasifikasi data mining yang sering digunakan untuk memprediksi atau meramalkan, seperti Algoritma Naive Bayes Classifier, Decision Tree, Neural Network, K-Nearest Neighbour, Artificial Neural Network, dan lain metode klasifikasi lain sebagainya. Metode yang digunakan pada penelitian ini menggunakan metode Algoritma Naive Bayes yang memanfaatkan metode probabilitas dan statistik yang dikemukakan oleh ilmuan Inggris Thomas Bayes, yaitu ilmuan yang memprediksi probabilitas di masa depan berdasarkan dengan pengalaman di masa sebelumnya atau masa lalu. Faktor-faktor yang mempengaruhi angka kelahiran sendiri yaitu faktor jenis kelamin laki-laki, jenis kelamin perempuan, dan pasangan usia subur. Angka kelahiran bayi sebagai indikator yang penting untuk mencerminkan keadaan derajat kesehatan di suatu masyarakat. Data yang digunakan dari tahun 1993 sampai dengan tahun 2022. Hasil analisis Algoritma Naive Bayes pada penelitian ini yaitu sebanyak 27 data diprediksi rendah dan 3 data diprediksi rendah pada tahun 2017, 2020, 2021 serta mendapatkan nilai akurasi (accuracy), Recall dan Precision sebesar 100%

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