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All Journal SOSIALITAS (Jurnal Ilmiah Pend. Sos-Ant) Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Dan Sistem Informasi Bisnis Devotion: Journal Corner of Community Service Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Noumerico: Journal of Technology in Mathematics Education Bustanul Ulum Journal of Islamic Education SYAIKHONA: Jurnal Magister Pendidikan Agama Islam Jurnal ELTEK PRIMER: Journal of Primary Education Research Dinamis: Jurnal Pengabdian Kepada Masyarakat Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
ANITA ANDRIANI, ANITA
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Klasifikasi Komentar Publik Dalam Pemilihan Umum Presiden 2024 Dengan Menggunakan Metode Naive Bayes: Studi Kasus Indentifikasi Haters Dan Non-Haters Imania, Dina; Andriani, Anita; Ali, Mahrus
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.5096

Abstract

Indonesia is one of the countries that adheres to a democratic system. The democratic system of governmentprioritizes the people. So that when the election of the people's representatives is carried out, the people havethe highest right to go through elections that take place freely. In 2024, the Indonesian presidential electionwill be held. Every moment of the presidential election or presidential general election, there are manyopinions from the public about the rumored presidential candidate. However, in practice, there are manynegative comments that are "hate speech," which can trigger social conflict and damage the politicalenvironment. This research aims to build a classification model of public comments into "haters" and "non-haters" categories in Indonesian using the Naïve Bayes algorithm. This research uses data totaling 1000, withdetails of training data of 800 and test data of 200. With the stages of data collection, data pre-processing,classification with Naïve Bayes, Evaluation, and Deployment. The results obtained an accuracy value of83.5%, a precision value of 82%, and a recall value of 90%.Keywords: Presidential Election; Classification; Naive Bayes.
SISTEM PENDUKUNG KEPUTUSAN PELANGGARAN TATA TERTIB SANTRI MENGGUNAKAN METODE SMART Darmawan, Ricky; Andriani, Anita; Fatkhur Rizal, Muhammad; Widoyoningrum, Sri
Inovate Vol 9 No 1 (2024): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i1.7230

Abstract

Santri Pondok Pesantren Tebuireng 4 who violate the rules will get punishment to improve behavior and provide a deterrent effect, but the data collection of sanctions is still manual so that often repeated violations are not recorded. This research aims to design a system of decision assistance based on the SMART method to record the history of violations and determine the appropriate type of sanction automatically. This descriptive research with a quantitative approach was conducted at Pondok Pesantren Tebuireng 4, Riau, for four months. Data were collected through interviews and documentation, then used to design a system with the SMART method, which was implemented using UML for visualization and documentation of system design through diagrams such as flowcharts, use case diagrams, and activity diagrams. System testing at Pondok Pesantren Tebuireng 4 using Black Box Testing showed satisfactory results on various scenarios, such as the appearance of the login page, dynamic website functionality, report print page, and final score results. Testing was conducted with the pesantren Security Team, and the results confirmed that the SMART-based system can generate automated reports that facilitate efficient monitoring and enforcement of santri discipline. With this system, the process of selecting actions for violations becomes faster and more accurate, and allows users to easily add, edit, and delete data. Keywords: sanctions, students, SMART, decision support system.
IMPLEMENTASI NAIVE BAYES DALAM MEMPREDIKSI PENYAKIT DIABETES MELLITUS Qois Al’Ariq; Setyo Permadi, Ginanjar; Mashuri, Chamdan; Andriani, Anita
Inovate Vol 9 No 1 (2024): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i1.7267

Abstract

Diabetes mellitus is a illness that significantly affects the global population. This study explores theimplementation of Naive Bayes to predict diabetes mellitus. The problems faced include the complexity ofclinical datasets, feature diversity, and the need for accurate predictions. The proposed solution is to usethe Naive Bayes classification algorithm that utilizes a simple but strong assumption about featureindependence. The system is described with steps involving data pre-processing, dataset partitioning,Naive Bayes model training, and performance evaluation. The datasets used include age, gender, weight,HbA1C, fasting blood sugar. The results and testing show that the Naive Bayes model can provide fairlyaccurate predictions for diabetes mellitus, with performance assessed through evaluation metrics such as ,recall, accuracy, F1-score, and precision. In conclusion, the implementation of Naive Bayes is a fairlyeffective approach to predicting diabetes mellitus. In this study, The performance of the Naïve Bayesmethod is considered quite accurate, this is evidenced in the highest accuracy score of 85.71%. Despite itssimplicity, this algorithm can handle the complexity of the dataset and provide reliable predictions.Keywords: Diabetes Mellitus, Data Mining, Machine Learning, Classification, and Naïve Bayes.
IMPLEMENTASI METODE K-NEAREST NEIGHBOR (KNN) UNTUK MENENTUKAN PENERIMA BANTUAN SOSIAL (STUDI KASUS DESA PURISEMANDING JOMBANG) Agung Rizky Wijaya; Lazulfa, Indana; Muhammad Fatkhur Rizal; Andriani, Anita
Inovate Vol 9 No 1 (2024): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i1.7269

Abstract

The distribution of social assistance is one of the government's efforts to improve the welfare of the community,especially for low-income families. In the village of Purisemanding, the process of distributing Direct CashAssistance (BLT) often faces challenges in identifying the right recipients due to the manual data collectionmethods that are prone to errors and manipulation. This study aims to implement the K-Nearest Neighbor (KNN)method in the classification system for social assistance recipients to enhance the accuracy and efficiency ofBLT distribution. The study concludes that the use of the KNN method in the classification system for socialassistance recipients can improve objectivity in the process of determining recipients. This, in turn, affects theefficiency of the data collection and distribution process. This system is expected to be a practical solution forvillage governments in addressing the issues related to social assistance distribution that have been encounteredso far.Keywords: K-Nearest Neighbor, KNN, classification, social assistance, Purisemanding Village.
PENERAPAN SISTEM PENDUKUNG KEPUTUSAN SELEKSI PEGAWAI TERBAIK DENGAN METODE MFEP DI DINAS PENDIDIKAN KABUPATEN JOMBANG Rizky Permadi Syah; Setyo Permadi, Ginanjar; Andriani, Anita; Kistofer, Terdy
Inovate Vol 9 No 1 (2024): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i1.7278

Abstract

The Education and Culture Office of Jombang District implements a system of selecting the best employeesevery year to improve employee morale and reward their performance. Currently, the selection is donemanually, with subjective selection by the head of the office. This process takes a long time, and the resultsare subjective without standardized calculations. To improve accuracy and efficiency, a decision-makingsystem is needed that can assist in determining the best employees. One of the methods used is MFEP(Multi Factor Evaluation Process), with criteria such as work quality, responsibility, teamwork, discipline,and attendance. This method allows determining the weight of each attribute, ranking the suitability ofcriteria and alternatives, and ranking the best weighted data from several alternatives. Using the MFEPmethod and a sample of 36 employee data points, the highest value obtained is 8.8 and the lowest value is6.3. After calculation and ranking, a selection will be made to determine the best employee based on theranking value results.Keywords: best employee, selection method, decision-making system, ranking.
SISTEM PENJADWALAN BIMBINGAN BELAJAR BERBASIS WEB MENGGUNAKAN ALGORITMA GENETIKA Adinda Yuli Setiani; Ahmad Heru Mujianto; Andriani, Anita; Sri Widoyoningrum
Inovate Vol 9 No 1 (2024): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i1.7282

Abstract

Scheduling is the act, process, and method of scheduling or entering schedule data involves preparingactivities for a specific period while considering a number of variables, including classes, teachers, and time.The scheduling procedure at Omah Sinau Tutoring is still done manually. This causes inefficient use of timeand will affect the standard of education received by students. Omah Sinau Tutoring uses genetic algorithmsas an optimization technique to create schedules in order to overcome this problem. Many optimizationproblems can be solved with genetic algorithms. The benefits of analogies between the mechanisms ofnatural selection and the mechanisms of interbreeding, mutation, and other features inherent in the geneticalgorithm process serve as the basis for genetic algorithm solutions, rather than mathematical calculations.Genetic algorithms are capable of handling complex problems that are challenging to tackle by traditionalapproaches. The number of populations, generations, crosses, and mutations that can be handled by thegenetic algorithm to solve the problem by generating optimal scheduling and reducing the time needed tocreate the schedule so that the process of creating it becomes effective and efficient are the parameters used,based on the results of the tests conducted.Keywords: scheduling, genetic algorithm, tutoring.
IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOR UNTUK KLASIFIKASI PENGAJUAN PINJAMAN UANG DI BMT MU’AMALAH SYARI’AH TEBUIRENG Listanto, Firgiawan; Lazulfa, Indana; Andriani, Anita; Sucipto , Hadi
Inovate Vol 9 No 2 (2025): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i2.8872

Abstract

Technological developments have had a significant impact on the banking industry, especially in facilitating access to information and financial services. This research implements the K-Nearest Neighbor algorithm for classification of loan applications at BMT Mu'amalah Syari'ah Tebuireng. This research focuses on efficiency and accuracy in the loan application evaluation process which was previously carried out manually. The data used includes customer information collected through interviews and observations. After going through the data preprocessing and normalization stages, the K-NN algorithm is applied to classify loan applications based on parameters such as age, employment, monthly income, dependents, collateral, residence, and credit status. The implementation of this algorithm has been proven to be able to speed up the evaluation process and reduce the risk of errors in decision making, thereby providing significant benefits in improving service quality and operational efficiency at BMT Mu'amalah Syari'ah Tebuireng. Keywords: K-Nearest Neighbor, Classification, Loan Application, BMT Mu’amalah Syari’ah Tebuireng
SISTEM PENDUKUNG KEPUTUSAN KEUANGAN MABNA KHOMIS DI PONDOK PESANTREN PUTRI WALISONGO MENGGUNAKAN METODE MOORA Islamiyah, Nadiatul; Andriani, Anita; Heru Mujianto , Ahmad; Widoyoningrum, Sri
Inovate Vol 9 No 2 (2025): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i2.8908

Abstract

Financial management at the Putri Walisongo Islamic Boarding School, Jombang, includes acquisition, allocation, use of funds, reports, audits and accountability. The system is still manual using ledgers and sharia books for recording, so administrators experience difficulties in managing income, expenses and accounting. To overcome these obstacles, a web-based financial information system using PHP and MySQL was developed. This system applies the MOORA method as decision support for cash replenishment based on frequency of use, total expenditure and remaining budget. The system involves two users, namely the treasurer and supervisor, who can add, change and delete cash data. The data managed includes student information, income, expenses and reports. With this system, financial management becomes easier and more efficient because it is computerized. Keywords:information system ,finance,moora
MODERASI BERAGAMA DALAM PENDIDIKAN AGAMA ISLAM BERDASARKAN LITERATUR AL-QUR’AN DAN HADITS Al Ayyubi, Ibnu Imam; Muhaemin, Abdul; Martini, Sofia; Andriani, Anita; Yasmin, Sabrina
SYAIKHONA: Jurnal Magister Pendidikan Agama Islam Vol 2 No 1 (2024): April 2024
Publisher : Prodi Magister Pendidikan Agama Islam (MPAI) - STAI Nida El-Adabi Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59166/syaikhona.v2i1.180

Abstract

This research aims to outline religious moderation in Islamic education based on the Al-Qur'an and Hadith literature to equip students in the world of Islamic education to truly maintain their religious values and maintain unity and unity. This research is qualitative descriptive research with a literature study approach that refers to several research data sources and data collection techniques in the form of studies on religious moderation. The focus of the research that will be raised is the construction of religious moderation in Islamic education based on the literature of the Koran and Hadith. The data collection technique used in this research is the library research method, namely library study with the data analysis technique used in this research being the descriptive method. In this research, it can be concluded that moderation is paired with the words wasath or wasathiyah, or it could be paired with the word tawassuth. The root of this word is contained in the Al-Quran, namely in QS. Al-Baqarah verses 143 & 238, QS. Al-Qalam verse 28, and QS. Al-Adiyat verse 5. Thus, the implications for the Al-Quran and Hadith that can be coherence with Islamic religious education are that it is far from violence which has recently become increasingly common in the context of bullying, the existence of love of peace, a tolerant nature, maintains noble values well amid changing times. integrated with Westernization, a priority scale that prioritizes goodness, flexibility and always innovative for benefit-based reform.
Pengolahan Kedelai Menjadi Kerupuk: Langkah Nyata Meningkatkan Ekonomi Masyarakat Andriani, Anita; Mufarrihah, Iftitaahul; Lazulfa, Indana; F, Reza Augusta Jannatul; Widoyoningrum, Sri
Dinamis: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2024): Desember 2024
Publisher : Universitas Hasyim Asy'ari Tebuireng Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/dinamis.v4i2.8241

Abstract

Abstract: Pengolahan kedelai menjadi kerupuk merupakan salah satu solusi untuk meningkatkan nilai tambah hasil pertanian di Desa Sumber Teguh, Kecamatan Kudu, Kabupaten Jombang, yang dikenal dengan surplus kedelai. Meskipun kedelai merupakan komoditas yang melimpah, petani sering kali menjualnya dengan harga rendah karena kurangnya pengolahan yang meningkatkan nilai ekonomisnya. Melalui pelatihan pengolahan kedelai menjadi kerupuk, masyarakat diberikan keterampilan untuk mengolah kedelai menjadi produk yang lebih bernilai dan siap dipasarkan. Program ini tidak hanya memberikan pengetahuan mengenai proses produksi, tetapi juga mencakup strategi pemasaran berbasis digital yang dapat membantu memperluas pasar produk lokal. Hasil pengabdian ini menunjukkan adanya peningkatan keterampilan dan pengetahuan peserta dalam mengolah kedelai menjadi kerupuk yang dapat dipasarkan secara efektif. Selain itu, program ini juga menciptakan peluang usaha baru yang berdampak pada peningkatan pendapatan dan kesejahteraan ekonomi masyarakat setempat. Dengan demikian, pengolahan kedelai menjadi kerupuk menjadi langkah nyata dalam pemberdayaan ekonomi berbasis potensi lokal.    
Co-Authors Adinda Yuli Setiani Agung Rizky Wijaya Alhamdani, Deden Abdul Hamid Apriyanti, Niken Siti Nur ARIES DWI INDRIYANTI, ARIES Aries Dwi Indriyanti, Aries Dwi Arif Hidayatullah, Arif Arwin Dermawan, Dodik BAMBANG SUJATMIKO Bilqis Ismail Putri, Tiara Dedy Rahman Prehanto Erwin Putubasai F, Reza Augusta Jannatul Faizah, Arbiati Fatkhur Rizal, Muhammad Firdaus, Reza Augusta Jannatul Ginanjar Setyo Permadi Heru Mujianto , Ahmad I Kadek Dwi Nuryana, I Ibnu Imam Al Ayyubi Iftitaahul Mufarrihah Imania, Dina Indana Lazulfa, Indana Indriawan, Fani Islamiyah, Nadiatul istiqomah istiqomah Khan, Anis Kistofer, Terdy Laili, Elisa Nurul Listanto, Firgiawan Mahrus Ali Martini, Sofia Mashuri, Chamdan Muhaemin, Abdul Muhammad Fatkhur Rizal Mujianto, Ahmad Heru Neysa Amallia Noerzanah, Firda Nur Rohmah, Fitri Nurhikmah Perdana, M. Harviend Gilang Prayetno, Eko Qois Al’Ariq Ricky Darmawan Rizky Permadi Syah Sabila K.S., Nella Saputra, Wawan Adi Sari, Desi Wulan Siti Rahmawati Sri Widoyoningrum Sucipto , Hadi Suryana, Irfan Uswatun Khasanah, Siti Wahyu Saputro, Angga Widiani, Erina Widoyoningrum, Sri Yasmin, Sabrina